Prepare for and practice interview questions from The Voleon Group.

The Voleon Group Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

The Voleon Group Interview Guides

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


<p>What is a key disadvantage of the F-test when compared to multiple t-tests?</p>

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

<p>Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.</p>

<p>What factors could have biased this result, and what would you look into?</p>


<p>What could potentially bias the average boarding time in favor of an airline that only flies domestically?</p>

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

<p>Let’s say you work for a social media company that has just done a launch in a new city. Looking at weekly metrics, you see a slow decrease in the average number of comments per user from January to March in this city.</p>

<p>The company has been consistently growing new users in the city from January to March.</p>

<p>What are some reasons why the average number of comments per user would be decreasing and what metrics would you look into?</p>


<p>What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?</p>

What metric could be used to measure if active users are still engaging on the platform despite an overall decrease in the average number of comments per user?

Decreasing Comments

How would you investigate a decline in the average number of comments per user?

The Voleon Group Salaries by Position

<h3>Job Description</h3><div>Job Description<div><div>Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.</div><div> </div><div>Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.</div><div><br /></div><div>In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.</div><div><br /></div><div><br /></div><div><br /></div><div><b>Your Team</b></div><div><br /></div><div>As a Senior/Staff Software Engineer in our Data Engineering group, you will contribute to scaling and advancing our entire data operation. This includes procurement and ingestion of new datasets, enabling data processing and analysis in research and production environments, building data-related infrastructure and tooling, and collaborating closely with various teams to facilitate and improve their usage of data. You will work with our team lead to design, scope, and deliver large scale projects within the team. You will collaborate closely with a diverse group of engineers, and directly impact the team's productivity and successful delivery. You will help to define the team's technical roadmap towards achieving strategic-level engineering goals. You'll participate in mentorship and development of other engineers on the team, and shaping our company's engineering culture.</div><div><br /></div><div>We seek brilliant thinkers who are passionate about taming complexity and solving problems through innovation and rigorous engineering. You’ll work in a collaborative environment that encourages creative thinking and experimentation, and values efficiency and attention to detail. Our engineers come from leading technology companies and top academic programs. Our team partners closely with machine learning researchers. We pride ourselves on being kind, friendly, and down-to-earth, and look for people who share those qualities.</div>Responsibilities<ul><li>Engage and collaborate in diverse software development work, including design and implementation of distributed systems and services, maintenance and deployment of production workflows, development of tools and libraries, and more</li></ul><ul><li>Support our trading operations and promote our research effort through reliable delivery of high-quality and easily accessible data</li></ul><ul><li>Build scalable data infrastructure, robust storage and distribution systems, and fault-tolerant production-critical pipelines</li></ul><ul><li>Lead complex projects from start to finish, including gathering requirements, creating a robust software design, reasoning about supporting or dependent technologies, and communicating effectively with stakeholders, collaborators, and teammates.</li></ul><ul><li>Provide technical guidance to engineering and research staff</li></ul><ul><li>Provide mentorship and support to help grow other team members and up-level the team</li></ul>Requirements<ul><li>Computer Science / Engineering bachelor’s degree (or equivalent)</li></ul><ul><li>5+ years of relevant software engineering experience</li></ul><ul><li>Proven track record of software design and implementation with focus on correctness, robustness, efficiency, and scale</li></ul><ul><li>Experience working with large codebases and building modular, extensible, and maintainable software</li></ul><ul><li>Expertise in a modern programming language, such as Python, Go, Java or C++</li></ul><ul><li>Hands-on experience developing in a Linux/UNIX environment</li></ul><ul><li>Design and implementation of scalable services and APIs, highly-available systems, and/or large-scale data infrastructure</li></ul><ul><li>Experience with data storage and management technologies (e.g. PostgreSQL, Artifactory, Ceph, Redis)</li></ul>Preferred Qualifications<ul><li>Familiarity with cluster management and containerization technologies (e.g. Kubernetes, Docker)</li></ul><ul><li>Familiarity with job scheduling and orchestration technologies (e.g. Airflow, Slurm)</li></ul><ul><li>Familiarity with cloud storage, querying, and processing technologies (e.g. Iceberg, BigQuery, Snowflake, DynamoDB, Trino/Athena)</li></ul><ul><li>Strong communication skills and a knack for explaining complex ideas with clarity and simplicity</li></ul><div><br /></div><div><br /></div><div><b>Compensation</b></div><div><br /></div><div>The base salary range for this position is $225,000 to $310,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.</div><div><br /></div><div><b>“Friends of Voleon” Candidate Referral Program</b></div><div><br /></div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.</div><div> </div><div><b>Equal Opportunity Employer</b></div><div><br /></div><div>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.</div><div><br /></div><div>#LI-MB1 </div><div><br /></div><div><br /></div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.</div><div><br /></div><div>As a Senior Software Engineer on our Back Office Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors.</div><div><br /></div><div>This role is open to remote work in the US or hybrid in our Berkeley office.</div><div><br /></div><div><b>Your Team</b></div><div><br /></div><div>We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers.</div><div><br /></div><div>Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.</div><div><br /></div><div>In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.</div>Responsibilities<ul><li>Design and optimize robust, scalable data infrastructure and real-time stream processing systems to support historical and live pipelines using tools like Python, Airflow, Go, and Apache Beam.</li><li>Develop and maintain observability and remediation tools to monitor and analyze trading performance and risk, ensuring reliability and transparency in operations.</li><li>Lead efforts to integrate new financial assets and markets, clarifying requirements and ensuring seamless functionality within existing systems.</li><li>Enhance the resilience, scalability, and performance of accounting and reporting systems to meet evolving business needs.</li><li>Build advanced tooling to unify data from diverse vendors, standardizing symbol mappings to ensure consistency and accuracy across systems.</li><li>Lead complex, company-wide projects by collaborating cross-functionally with research, legal, trading, finance operations, data, and infrastructure teams to deliver comprehensive end-to-end accounting and reporting systems.</li><li>Build the infrastructure required for optimal extraction, transformation, and loading of data from various data sources.</li><li>Guide and support the growth of other engineers on the team by mentoring them and sharing your expertise, best practices, and knowledge.</li></ul>Requirements<ul><li>Bachelor’s degree in Computer Science or equivalent professional experience in a related technical field.</li><li>5+ years of software engineering experience designing and building high-performance, reliable systems.</li><li>Proven expertise in operating and scaling large-scale, mission-critical production systems, with proficiency in programming languages such as Python.</li><li>Strong communication and project management skills, particularly in navigating complex technical domains and cross-functional collaboration.</li><li>Demonstrated ability to mentor engineers and provide leadership in driving technical direction and system architecture.</li></ul>Preferred Qualifications<ul><li>Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka).</li><li>Experience with profiling and performance optimizations on distributed systems.</li><li>Familiarity with modern Python data science tooling (pandas, polars, dask, duckdb, etc.).</li><li>Experience with modern data engineering technologies.</li></ul><div><b>Compensation</b></div><div>The base salary range for this position is $225,000 to $255,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.</div><div><br /></div><div><b>“Friends of Voleon” Candidate Referral Program</b></div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program.</div><div> </div><div><b>Equal Opportunity Employer</b></div><div>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.</div><div> </div><div>#LI-JA1</div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Voleon Securities, a new business within the Voleon Group, provides liquidity in securities markets. We apply state-of-the-art AI/ML techniques to construct our liquidity-provision strategies. For more than a decade, our affiliate Voleon Capital Management has led the hedge fund industry and worked at the frontier of applying AI/ML to investment management, becoming a multibillion-dollar asset manager. Voleon Securities builds on Voleon’s deep real-world experience applying ML to financial markets. </div><div><br /></div><div>We are seeking an entrepreneurial Technical Lead in Data Science who is excited to get in on the ground floor of a growing securities business. Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists. </div><div><br /></div><div>As a Technical Lead – Data Science, you will provide technical direction and management fora team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice. </div>Responsibilities<ul><li>Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders. </li><li>Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies. </li><li>Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects. </li><li>Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility. </li><li>Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness. </li><li>Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews). </li><li>Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation. </li></ul>Requirements<ul><li>Master’s degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training. </li><li>3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution. </li><li>Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery. </li><li>Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas. </li><li>Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively. </li><li>Basic software development skills and experience with bash, linux/unix, and git </li><li>Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations. </li><li>Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments. </li></ul>Preferred<ul><li>Experience building or growing high-performing data science teams in production-aware or high-stakes settings. </li><li>Exposure to financial markets, trading systems, or quantitative research environments. </li><li>Familiarity with production monitoring systems, data quality pipelines, or analytics platform development. </li><li>7+ years of experience managing data scientists. </li><li>Experience managing a large team or multiple teams.   </li></ul><div>The base salary range for this position is $210,000 to $260,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match. </div><div><b>“Friends of Voleon” Candidate Referral Program</b> </div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program. </div><div> </div><div><b>Equal Opportunity Employer</b> </div><div>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law. </div><div><br /></div><div>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. </div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.</div><div><br /></div><div>Data is at the heart of everything we do—from modeling and strategy development to production monitoring and compliance. As we expand our data-driven investment initiatives, we are seeking a Technical Lead in Data Science to guide the design, implementation, and evolution of our analytical systems and mentor a growing team of data scientists.</div><div><br /></div><div>As a Technical Lead – Data Science, you will provide technical direction and management for<b> </b>a team of data scientists working on high-impact problems across trading and research systems. You will be responsible for shaping analytical frameworks, ensuring methodological rigor, and delivering insights that inform business and research decisions. You will collaborate with stakeholders in engineering, research, and leadership while driving innovation and excellence in our data science practice.</div>Responsibilities<ul><li>Collaborate with Technical Product Owners in Research and Engineering to define priorities, scope solutions, and deliver actionable insights to stakeholders.</li><li>Own investigations of complex production behaviors and design robust methods for identifying, analyzing, and communicating system anomalies.</li><li>Mentor and manage junior and mid-level data scientists; provide architectural oversight for data projects.</li><li>Serve as a technical authority within the data science function, set standards for data quality, statistical rigor, and reproducibility.</li><li>Lead the design, development, and deployment of analytical pipelines to monitor and interpret production behavior across trading and research systems, ensuring its correctness.</li><li>Champion best practices in data governance, tooling, and collaborative development (CI/CD, version control, code reviews).</li><li>Drive continual growth and learning within the team by onboarding new Data Scientists, growing teams, and fostering a culture of curiosity, collaboration, and applied experimentation.</li></ul>Requirements<ul><li>Master’s degree or higher in a quantitative, technical, or analytical field such as Data Science, Statistics, Computer Science, Engineering, Finance, or an MBA with strong analytical training.</li><li>3+ years of experience managing data scientists, including responsibility for performance development, technical direction, and project execution.</li><li>Demonstrated ability to lead cross-functional data initiatives, translate business objectives into analytical goals, and ensure timely delivery.</li><li>Strong understanding of data science fundamentals, including statistical analysis, data preparation, root cause investigation, and the proven ability to guide others' work in these areas.</li><li>Familiarity with data tooling and workflows (e.g., SQL, Pandas, R, Airflow), with enough fluency to review and support technical contributors effectively.</li><li>Basic software development skills and experience with bash, linux/unix, and git</li><li>Experience communicating complex findings to executive and technical stakeholders, including presenting insights, tradeoffs, and recommendations.</li><li>Track record of establishing scalable methodologies, driving technical standards, and fostering collaboration in fast-paced, analytically rigorous environments.</li></ul>Preferred<ul><li>Experience building or growing high-performing data science teams in production-aware or high-stakes settings.</li><li>Exposure to financial markets, trading systems, or quantitative research environments.</li><li>Familiarity with production monitoring systems, data quality pipelines, or analytics platform development.</li><li>7+ years of experience managing data scientists.</li><li>Experience managing a large team or multiple teams.  </li></ul><div><b>Compensation</b></div><div>The base salary range for this position is $195,000 to $225,000 in the location(s) of this posting. Individual salaries are determined by a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geographic location. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, as well as life and AD&D insurance, 20 days of paid time off, nine sick days, and a 401(k) plan with a company match.</div><div><br /></div><div><b>“Friends of Voleon” Candidate Referral Program</b></div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please review the Voleon Referral Bonus Program.</div><div> </div><div><b>Equal Opportunity Employer</b></div><div>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.</div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Voleon is a technology company that applies state-of-the-art machine learning techniques to real-world problems in finance.  For nearly two decades, we have led our industry and worked at the frontier of applying machine learning to investment management. We have become a multibillion dollar asset manager, and we have ambitious goals for the future.</div><div><br /></div><div>Your colleagues will include internationally recognized experts in machine learning research as well as highly experienced technology and finance professionals. The people who shape our company come from other backgrounds, too, including concert music performance, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.</div><div><br /></div><div>In addition to our enriching and collegial working environment, we offer competitive compensation and benefits packages, technology talks by our experts, a modern office, catered lunches, and more.</div><div><br /></div><div>As a Data Analyst, you will be part of a team responsible for owning and simplifying the flow of data used by production trading algorithms at Voleon. The primary responsibility of our team is to ensure continuous operation of production-critical systems by leveraging an on-call rotation. When not taking part in this rotation, your work will focus on improvements to our data-consumption pipelines. Such improvements include the curation and onboarding of datasets for consumption and leveraging data analytics to inform updates to the softwares which form the back-end of these pipelines. This role is a means to make a difference: as a machine learning company, data is essential to our business.  </div>Responsibilities<ul><li>Share an on-call rotation; act as first responder ensuring the health and continuous operation of production-critical systems.</li><li>Perform manual steps and develop automated processes to ensure the completeness and integrity of massive amounts of mission critical financial data pertaining to stocks, bonds, futures, commodities, and more</li><li>Partner with Members of Research Staff to curate and onboard new and existing datasets</li><li>Help drive continuous improvements to data quality procedures and a consistent approach to how data quality is measured, monitored, and reported in our production environments.</li><li>Design systematic and automated processes and tools that allow for scaling and reliability of data-consumption pipelines</li></ul>Requirements<ul><li>Coursework or other relevant training in data analytics, programming, or computing systems</li><li>Proven problem-solving and analytical abilities including pattern detection, root cause analysis, and issue resolution</li><li>Experience with Python, pandas, and an interest in programming and data analysis</li><li>Experience with SQL and working with a relational database system</li><li>A degree in a technical field</li></ul>Preferred Qualifications<ul><li>Relevant experience in data operations, with proven process improvement skills</li><li>An understanding of the software development process and exposure to hands-on coding in a professional environment</li><li>Experience in exploratory data analysis and applied statistics </li><li>Experience interacting with Linux kernels</li><li>While financial industry experience is a plus, we are open-minded in our search for critical thinkers who are passionate about technology and data</li></ul><div>The base salary for this position is $115,000 to $125,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.</div><div><br /></div><div><b>“Friends of Voleon” Candidate Referral Program</b></div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.</div><div> </div><div><b>Equal Opportunity Employer</b></div><div>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.</div><div><br /></div><div>#LI-JA1</div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.</div><div><br /></div><div>As a Staff Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors.</div><div><br /></div><div><b>Your Team</b></div><div><br /></div><div>We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers.</div><div><br /></div><div>Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.</div><div><br /></div><div>In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.</div>Responsibilities<ul><li>Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++)</li><li>Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines <span class="long-word">(Python/Airflow/Go/beam)</span></li><li>Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React)</li><li>Integrate with new assets and markets and drive clarity on the resulting requirements</li><li>Improve the resilience and performance of our trading systems</li><li>Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency</li><li>Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems</li><li>Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company</li></ul>Requirements<ul><li>Computer Science Degree or equivalent experience</li><li>7+ years of software engineering experience building high-performance systems</li><li>Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++</li><li>Excellent communication and project management skills in complex technical domains</li><li>Track record mentoring engineers and leading technical direction</li></ul>Preferred Qualifications<ul><li>Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka)</li><li>Experience with profiling and performance optimizations on distributed systems. (Go / C++)</li><li>Exposure to modern Python data science tooling. (pandas, polars, dask, duckdb etc)</li></ul><div><b>Compensation</b></div><div><br /></div><div>The base salary range for this position is $270,000 to $300,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.</div><div><br /></div><div><b>“Friends of Voleon” Candidate Referral Program</b></div><div><br /></div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please make sure to review the Voleon Referral Bonus Program.</div><div> </div><div><b>Equal Opportunity Employer</b></div><div><br /></div><div>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.</div><div> </div><div>#LI-DL1</div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.</div><div><br /></div><div>As a Senior Software Engineer on our Trading Platforms Engineering team, you will be developing the company's production trading systems and the data pipelines that drive our machine learning in both production and research. You will be expected to work closely with both our finance and research teams to contribute to a platform that supports a diverse set of requirements and complex trading behaviors.</div><div><br /></div><div><b>Your Team</b></div><div><br /></div><div>We look for brilliant people with a passion for solving problems through innovation and engineering fundamentals. You’ll work in a collaborative environment that encourages creative thinking and efficient implementation. We embrace experimentation. You’ll work alongside experienced engineers recruited from leading technology companies and universities. You and your team will collaborate closely with top machine learning researchers.</div><div><br /></div><div>Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.</div><div><br /></div><div>In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.</div>Responsibilities<ul><li>Design real-time distributed trading systems that place orders across a global set of markets and asset classes (Go / C++)</li><li>Build and optimize large-scale data infrastructure and stream processing systems for historical and real-time machine learning feature pipelines <span class="long-word">(Python/Airflow/Go/beam)</span></li><li>Own observability and remediation tooling used to analyze trading performance and risk (Go / Python / React)</li><li>Integrate with new assets and markets and drive clarity on the resulting requirements</li><li>Improve the resilience and performance of our trading systems</li><li>Develop tooling to integrate data from diverse vendors, unifying symbol mappings for data consistency</li><li>Lead company spanning complex projects. Collaborate across research, legal, trading, finance operations data, and infra teams to deliver end-to-end trading systems</li><li>Mentor and develop other engineers on the team, and share your practices and knowledge with the team and company</li></ul>Requirements<ul><li>Computer Science Degree or equivalent experience</li><li>5+ years of software engineering experience building high-performance systems</li><li>Experience operating and scaling mission-critical, large-scale production systems in languages such as Python, Go and C++</li><li>Excellent communication and project management skills in complex technical domains</li><li>Track record mentoring engineers and leading technical direction</li></ul>Preferred Qualifications<ul><li>Expertise in building and optimizing data pipelines (e.g., Apache Airflow, Spark, Kafka)</li><li>Experience with profiling and performance optimizations on distributed systems. (Go / C++)</li><li>Exposure to modern Python data science tooling. (pandas, polars, dask, duckdb etc)</li></ul><div><b>Compensation</b></div><div><br /></div><div>The base salary range for this position is $225,000 to $255,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.</div><div><br /></div><div><b>“Friends of Voleon” Candidate Referral Program</b></div><div><br /></div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please make sure to review the Voleon Referral Bonus Program.</div><div> </div><div><b>Equal Opportunity Employer</b></div><div><br /></div><div>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.</div><div><br /></div><div>#LI-DL1</div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.</div><div> </div><div>Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals.</div><div> </div><div>In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.</div><div><br /></div><div>The Voleon Group is forming a new team to help advance our data-driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership.  This role is a means to make a difference: as a machine learning company, data insights are essential to our business.  </div>Responsibilities<ul><li>Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds</li><li>Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders</li><li>Perform extemporaneous analyses on research and production trading systems with leadership   </li><li>Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems</li><li>Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring</li></ul>Requirements<ul><li>1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization</li><li>Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions</li><li>Ability to frame and answer questions mathematically</li><li>Ability to infer useful forward-looking directions from results of retrospective analysis</li><li>Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R</li><li>Basic software development skills and experience with bash, linux/unix, and git</li><li>Ability to refine requirements from ambiguous requests to produce reports demonstrating excellence in communication</li><li>Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)</li></ul>Preferred<ul><li>Master’s degree in a quantitative discipline</li><li>Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships </li><li>Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow</li></ul><div><b>Compensation</b></div><div>The base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.</div><div><br /></div><div><b>“Friends of Voleon” Candidate Referral Program</b></div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms, and conditions, please make sure to review the Voleon Referral Bonus Program.</div><div> </div><div><b>Equal Opportunity Employer</b></div><div>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.</div><div><br /></div><div>#LI-MD1</div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.</div><div> </div><div>Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals.</div><div> </div><div>In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.</div><div><br /></div><div>The Voleon Group has formed a new team to help advance our data-driven investment initiatives. As a Data Scientist, you will be responsible for harvesting insights from a complex array of data. Your role will involve data curation, analysis, interpretation, visualization, and communication of your findings to members of the research staff and executive leadership.  This role is a means to make a difference: as a machine learning company, data insights are essential to our business.  </div><div><br /></div><div>As a Data Scientist in Trading Operations, you will be embedded in the Quantitative Trading Strategy team. The team focuses on domain-heavy technical work, such as tuning execution algorithms and optimizing portfolio financing. You will build, maintain, and analyze data pipelines to generate insight consumed by the whole team. You will work at the intersection of trading and research on problems requiring market domain expertise and statistical and quantitative rigor.</div>Responsibilities<ul><li>Design and implement systems to ensure data correctness and monitor data health in data stores and live feeds</li><li>Proactively identify abnormal production behavior and communicate them clearly to relevant stakeholders</li><li>Perform extemporaneous analyses on research and production trading systems with leadership   </li><li>Harness financial expertise and statistical analysis to gain actionable insights into our production trading and research systems</li><li>Design and implement analysis pipelines that automate those analyses found to be valuable for ongoing monitoring</li></ul>Requirements<ul><li>1+ years of applied end-to-end industry experience, including internships working with complex datasets, including curation, querying, aggregation, exploratory data analysis, and visualization</li><li>Experience using statistical methods to analyze data, identify patterns, conduct root cause analysis, discover insights, and recommend solutions</li><li>Ability to frame and answer questions mathematically</li><li>Ability to infer useful forward-looking directions from results of retrospective analysis</li><li>Fluency in managing, processing, and visualizing tabular data using a combination of SQL, Pandas, and R</li><li>Basic software development skills and experience with bash, Linux/Unix, and git</li><li>Ability to refine requirements from ambiguous requests to produce reports </li><li>Excellent communication skills</li><li>Bachelor’s degree in a quantitative discipline (statistics, biostatistics, data science, computer science, or a related field)</li></ul>Preferred<ul><li>Master’s degree in a quantitative discipline</li><li>Prior industry experience or displayed interest in finance, such as related academic projects, coursework in financial engineering, or industry internships </li><li>Experience developing in a production-facing environment and familiarity with standard concepts and tooling, e.g., CI/CD, git, Airflow</li></ul><div><b>Compensation</b></div><div>The base salary range for this position is $150,000 to $190,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation, such as bonus compensation and other benefits. Our benefits package includes medical, dental, and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.</div><div><br /></div><div><b>“Friends of Voleon” Candidate Referral Program</b></div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.</div><div> </div><div><b>Equal Opportunity Employer</b></div><div>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.</div><div><br /></div><div>#LI-MD1</div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

<h3>Job Description</h3><div>Job Description<div><div>Voleon is a technology company that applies state-of-the-art AI and machine learning techniques to real-world problems in finance. For nearly two decades, we have led our industry and worked at the frontier of applying AI/ML to investment management. We have become a multibillion-dollar asset manager, and we have ambitious goals for the future.</div><div> </div><div>Your colleagues will include internationally recognized experts in artificial intelligence and machine learning research as well as highly experienced finance and technology professionals. The people who shape our company come from other backgrounds, including concert music performances, humanitarian aid, opera singing, sports writing, and BMX racing. You will be part of a team that loves to succeed together.</div><div><br /></div><div>In addition to our enriching and collegial working environment, we offer highly competitive compensation and benefits packages, technology talks by our experts, a beautiful modern office, daily catered lunches, and more.</div><div><br /></div><div>As a Software Engineer, you will play a key role in designing and implementing scalable, high-performance software solutions that drive our trading and research platforms. You will engage deeply with both the technical and business aspects of our operations, working alongside traders, quantitative researchers, and other engineers to create scalable, efficient, and resilient solutions. You'll have the opportunity to tackle challenging technical problems while directly impacting the success and evolution of our trading strategies in a highly dynamic and competitive industry.</div>Responsibilities<ul><li>Lead and collaborate in diverse and engaging software work, which includes areas such as trading infrastructure, computing and data processing, flexible pipelines for model development, and more</li><li>Design, develop, and maintain robust software that support our trading strategies and research initiatives</li><li>Proactively engage in complex projects from start to finish, which includes gathering project requirements, translating them into a rational software design, reasoning effectively about supporting or dependent technologies, and communicating effectively with teammates</li><li>Collaborate closely with Senior Software Engineers and benefit from mentorship and coaching</li></ul>Requirements<ul><li>Experience developing in a Linux environment with a focus on performance, concurrency, and correctness using languages such as Python, R, Java, Go, and C/C++</li><li>Demonstrated excellence in backend engineering via work with databases, large-scale data processing, highly available services</li><li>Demonstrated ability to design, develop, and deploy a back-end application given design specs</li><li>Excellent interpersonal and communication skills, with the ability to work effectively in cross-functional teams</li><li>Familiarity with modern deployment and build tooling, such as Kubernetes, Bazel, etc. (preferred)</li><li>Bachelor’s degree in computer science or a related technical field <b>(Graduating class of 2026)</b></li><li>Authorization to work in the United States</li></ul><div>The base salary range for this position is $160,000 to $170,000 in the location(s) of this posting. Individual salaries are determined through a variety of factors, including, but not limited to, education, experience, knowledge, skills, and geography. Base salary does not include other forms of total compensation such as bonus compensation and other benefits. Our benefits package includes medical, dental and vision coverage, life and AD&D insurance, 20 days of paid time off, 9 sick days, and a 401(k) plan with a company match.</div><div><br /></div><div><b>“Friends of Voleon” Candidate Referral Program</b></div><div>If you have a great candidate in mind for this role and would like to have the potential to earn $7,500 - $15,000 if your referred candidate is successfully hired and employed by The Voleon Group, please use this form to submit your referral. For more details regarding eligibility, terms and conditions please make sure to review the Voleon Referral Bonus Program.</div><div> </div><div><b>Equal Opportunity Employer</b></div><div>The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard to race, color, religion, creed, national origin, age, sex, gender, marital status, sexual orientation and identity, genetic information, veteran status, citizenship, or any other factors prohibited by local, state, or federal law.</div><div> </div><div>#LI-AM1</div><p>We may use artificial intelligence (AI) tools to support parts of the hiring process. These tools assist our recruitment team but do not replace human judgement. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.</p></div></div>

Question	Topic	Difficulty	Ask Chance
Hundreds of Hypotheses	Statistics	Medium	Very High
Boarding Times Bias	Statistics	Medium	High
Decreasing Comments	Product Metrics	Easy	High

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