The The Voleon Group Data Scientist interview guide, interview questions, salary data, and interview experiences.

The Voleon Group Data Scientist Interview Guide

<p>Getting ready for an Data Scientist interview at The Voleon Group? The The Voleon Group Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:</p>
<ul>
<li>Know what skills are necessary for The Voleon Group Data Scientist roles.</li>
<li>Gain insights into the Data Scientist interview process at The Voleon Group.</li>
<li>Practice real The Voleon Group Data Scientist interview questions.</li>
</ul>
<p>Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the The Voleon Group Data Scientist interview.</p>


Getting ready for an Data Scientist interview at The Voleon Group? The The Voleon Group Data Scientist interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for The Voleon Group Data Scientist roles.
- Gain insights into the Data Scientist interview process at The Voleon Group.
- Practice real The Voleon Group Data Scientist interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the The Voleon Group Data Scientist interview.
        

Overview

<p>We've gathered this data from parsing thousands of interview experiences sourced from members.</p>

We've gathered this data from parsing thousands of interview experiences sourced from members.

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

The Voleon Group Data Scientist Interview Process

<p>You are given an array of numerical values, bootstrap samples, and size for a confidence interval.</p>

<p>Write a function that performs bootstrap sampling on the given array and calculates the confidence interval based on the given size.</p>

<p><em>Note: The function should return a tuple containing the minimum and maximum values of the confidence interval rounded to the tenths place.</em></p>

<p><strong>Example</strong></p>

<p><strong>Input:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="n">values</span> <span class="o">=</span> <span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">4</span><span class="p">,</span> <span class="mi">5</span><span class="p">]</span>
</span></span></code></pre>

<p><strong>Output</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="n">bootstrap_conf_interval</span><span class="p">(</span><span class="n">values</span><span class="p">,</span> <span class="mi">1000</span><span class="p">,</span> <span class="mf">0.95</span><span class="p">)</span> <span class="o">-&gt;</span> <span class="p">(</span><span class="mf">1.2</span><span class="p">,</span> <span class="mf">4.8</span><span class="p">)</span>
</span></span></code></pre>

<p>In this case, the function returns a tuple indicating that we are 95% confident that the population parameter lies between 1.2 and 4.8 based on our bootstrap samples.</p>

<p><em>Note: Results may vary due to the randomness of bootstrap sampling.</em></p>


Write a function to bootstrap the confidence interface for a list of integers

Bootstrapping Confidence Intervals

<p>Let’s say you’ve just started as the operations manager at Lyft, and the CEO has asked you to design a dashboard for weekly leadership meetings. The company is facing increased competition in major cities, and there’s concern about both driver retention and rider wait times. This week, marketing is launching a $2M campaign to boost new rider signups in these cities.</p>

<p>Given limited dashboard space, what specific metrics and visualizations would you include?</p>


Which metrics and visualizations would you prioritize for a CEO-facing dashboard during a major rider acquisition campaign?

Lyft Ops Dashboard

Data Visualization & Dashboarding

<p>You are given a string that resembles the declaration of a list of dictionaries.</p>

<p>Without using the <code>pandas</code> package, write a function <code>read_split_from_str</code> to split the data into two lists, one for training and one for testing, with a 70:30 split between the training set and the testing set.</p>

<p><em>Note: Use <code>numpy</code> for random number generation if you need to.</em></p>

<p><strong>Example</strong></p>

<p><strong>Input:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="n">list_of_dict_str</span> <span class="o">=</span> <span class="s2">&#34;[{&#39;x&#39;: 0.0, &#39;y&#39;: 5.43}, {&#39;x&#39;: 50.0, &#39;y&#39;: 102.78}, {&#39;x&#39;: 100.0, &#39;y&#39;: 204.24}]&#34;</span>
</span></span></code></pre>

<p><strong>Output:</strong></p>

<pre tabindex="0" class="chroma"><code><span class="line"><span class="cl"><span class="k">def</span> <span class="nf">read_split_from_str</span><span class="p">(</span><span class="n">list_of_dict_str</span><span class="p">)</span> <span class="o">-&gt;</span> 
</span></span><span class="line"><span class="cl">    <span class="p">[</span>
</span></span><span class="line"><span class="cl">    <span class="p">[{</span><span class="s1">&#39;x&#39;</span><span class="p">:</span> <span class="mf">0.0</span><span class="p">,</span> <span class="s1">&#39;y&#39;</span><span class="p">:</span> <span class="mf">5.43</span><span class="p">},</span> <span class="p">{</span><span class="s1">&#39;x&#39;</span><span class="p">:</span> <span class="mf">50.0</span><span class="p">,</span> <span class="s1">&#39;y&#39;</span><span class="p">:</span> <span class="mf">102.78</span><span class="p">}],</span>
</span></span><span class="line"><span class="cl">    <span class="p">[{</span><span class="s1">&#39;x&#39;</span><span class="p">:</span> <span class="mf">100.0</span><span class="p">,</span> <span class="s1">&#39;y&#39;</span><span class="p">:</span> <span class="mf">204.24</span><span class="p">}]</span>
</span></span><span class="line"><span class="cl">    <span class="p">]</span>
</span></span></code></pre>


Write a function that splits the data into two lists, one for training and one for testing.

Split Data Without Pandas

Python & General Programming

The Voleon Group Data Scientist Interview Questions

<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> </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 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><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 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>

Question	Topic	Difficulty	Ask Chance
Bootstrapping Confidence Intervals	Statistics	Easy	Very High
Lyft Ops Dashboard	Data Visualization & Dashboarding	Medium	Very High
Split Data Without Pandas	Python & General Programming	Medium	Very High

The Voleon Group Data Scientist Interview Questions + Guide in 2025

Overview

The Voleon Group Data Scientist Interview Process

The Voleon Group Data Scientist Interview Questions

The Voleon Group Data Scientist Jobs