Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description Execute model development and performance tracking for risk models, generate performance analysis at the aggregate level, as well as issuer level. Interpret and present performance results to non-technical audience.
Compile complex predictive model packages for production deployment, support model installations, and monitor and calibrate production models.
Propel analytic product development via conducting statistical analyses on various data sources, and add values to products by being innovative and applying the analysis.
Find opportunities to create and automate repeatable analyses or build self-service tools for business users.
Support sales and business efforts with sound statistical and financial analysis, execute ad hoc analyses to meet the fast-changing market demands.
Conduct transaction data analyses with Hadoop, Cloud, and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods.
Ensure project delivery within timelines and meet critical business needs.
Promote big data innovations and analytic education throughout the Visa organization.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications Basic Qualifications:
* 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD).
Preferred Qualifications:
* 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD).
* A Master's Degree in a quantitative field, such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering.
* Successful internships or 6 months of experience in a predictive modeling function.
* Preference given to candidates with multiple years working experience in predictive modeling functions.
* Candidates with a PhD in a quantitative field, such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering preferred.
* Strong background in two or more of the following areas: machine learning, AI algorithms, computations, statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis, and deep learning.
* Experience with a range of advanced techniques and emerging approaches to big data and data science (Python, Spark, TensorFlow, H2O, Dask, etc.), extensive experience with SQL, Hive for extracting and aggregating data.
* Good oral and written communication skills and attention to details.
* Must be a team player and capable of handling multitasks in a dynamic environment.
* Visa and financial, payment industry knowledge or previous experience with fraud modeling is a plus, but not required.
Additional Information Work Hours: Varies upon the needs of the department.
Travel Requirements: This position requires travel 5-10% of the time.
Mental/Physical Requirements: This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.
U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 116,500.00 to 164,500.00 per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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<h3>Job Description</h3><div>Job Description<div>Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid.Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.Job Description Visa has the world’s largest consumer payment transaction dataset.  We see data on over 200 billion transactions every year from all over the world. We use that data to help our clients in the payment ecosystem grow their businesses and to help consumers access a fast, safe, and rewarding payment experience. Visa Predictive Modeling (VPM) team develops and maintains predictive machine learning models to primarily support Visa Risk and Identity Solutions. Using VisaNet data and leveraging Machine Learning (ML) and Artificial Intelligence (AI), our model scores help Visa clients all over the world for fraud defense, identity verification, smart marketing, etc. Through our models and services, VPM fuels the growth of Visa clients, generates, and diversifies revenues for VISA, while improving Visa Card customer experience and their financial lives. Within VPM, the Acceptance Risk Model Team is responsible for developing real-time fraud detection models serving merchants. We leverage a set of rich data available at merchant check-out including transactional, digital and identity information to detect and stop fraud. This is a Technical (Individual Contributor) role.  Your responsibilities include:<ul><li>Building and validating predictive models with advanced machine learning techniques and tools to drive business value, interpreting, and presenting modeling and analytical results to non-technical audience.</li><li>Conducting research using latest and emerging modeling technologies and tools (e.g., Deep Neural Networks, RNN, LSTM, etc.) to solve new fraud detection business problems like enumeration attacks and/or improve existing production models’ performance.</li><li>Improving the modeling process through MLOps and automation to drive efficiency and effectiveness.</li><li>Partnering with a cross functional team of Product Managers, Data Engineers, Software Engineers, and Platform Engineers to deploy models and/or model innovations into production.</li><li>Managing model risks in line with Visa Model Risk Management requirements.</li><li>Conducting modeling analysis to address internal and external clients’ questions and requests.</li></ul>This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.Qualifications Basic Qualifications<ul><li>5 or more years of relevant work experience with a Bachelors Degree or at least 2 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 0 years of work experience with a PhD</li></ul> Preferred Qualifications<ul><li>6 or more years of work experience with a Bachelor’s degree or 4 or more years of relevant experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or up to 3 years of relevant experience with a PhD in a quantitative or engineering field.</li><li>3 or more years of experience with modern machine learning framework and tools like Gradient Boosting (e.g., XGBoost), and modern Deep Neural Network framework (e.g. RNN, LSTM, Transformer) and tools (e.g., PyTorch, TensorFlow).</li><li>3 or more years of experience with production model development, implementation, and support.</li><li>Experience with Payment Fraud models.</li><li>Experience in Agile Development and tools.</li><li>Proven ability to quickly learn and apply new tools and techniques.</li><li>A strong innovation leader yet a practitioner to create tangible business value balancing business objectives and technological constraints.</li><li>Must be a team-player and capable of handling multi-tasks in a dynamic environment.</li><li>Excellent business writing, verbal communication, and presentation skills to technical and non-technical audiences.</li></ul>Technical Qualifications<ul><li>Proficiency in Python, Hadoop, Hive, Spark for big data analysis and modeling</li><li>Experience with script and shell programming in Unix/Linux</li><li>Experience with using GitHub and Jira for data science projects</li></ul> Additional Information Work Hours: Varies upon the needs of the department.Travel Requirements: This position requires travel 5-10% of the time.Mental/Physical Requirements: This position will be performed in an office setting.  The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.Visa is an EEO Employer.  Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.  Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 139,800.00 to 202,750.00 per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.</div></div>

Company Description

Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.

Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.

Job Description
Execute model development and performance tracking for risk models, generate performance analysis at the aggregate level, as well as issuer level. Interpret and present performance results to non technical audience.
Compile complex predictive model packages for production deployment, support model installations, and monitor and calibrate production models
Propel analytic product development via conducting statistical analyses on various data sources, and add values to products by being innovative and applying the analysis
Find opportunities to create and automate repeatable analyses or build self service tools for business users
Support sales and business efforts with sound statistical and financial analysis, execute ad hoc analyses to meet the fast changing market demands
Conduct transaction data analyses with Hadoop, Cloud and big data technologies for internal and external product owners, and develop deeper insights into the products using advanced statistical methods
Ensure project delivery within timelines and meet critical business needs
Promote big data innovations and analytic education throughout the Visa organization

This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.

Qualifications

Basic Qualifications
•2 or more years of work experience with a Bachelor's Degree or an Advanced Degree (e.g. Masters, MBA, JD, MD, or PhD)

Preferred Qualifications
•3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree (e.g. Masters, MBA, JD, MD)
•A Master's Degree in a quantitative field, such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering
•Successful internships or 6 month of experience in a predictive modeling function
•Preference given to candidates with multiple years working experience in predictive modeling functions
•Candidates with a PhD in a quantitative field, such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering preferred
•Strong background in two or more of the following areas: machine learning, AI algorithms, computations, statistical learning theory, scalable systems (e.g. Spark, Hadoop), large scale data analysis, optimization, functional analysis and deep learning.
•Experience with a range advanced techniques and emerging approaches to big data and data science (Python, Spark, TensorFlow, H2O, Dask, etc),extensive experience with SQL, Hive for extracting and aggregating data
•Good oral and written communication skills and attention to details
•Must be a team player and capable of handling multitasks in a dynamic environment
•Visa and financial, payment industry knowledge or previous experience with fraud modeling is a plus, but not required

Additional Information

Work Hours:  Varies upon the needs of the department.

Travel Requirements:  This position requires travel 5-10% of the time.

Mental/Physical Requirements:  This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.

Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Visa will consider for employment qualified applicants with criminal histories in a manner consistent with applicable local law, including the requirements of Article 49 of the San Francisco Police Code.

U.S. APPLICANTS ONLY: The estimated salary range for a new hire into this position is 116,500.00 to 164,500.00 per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

Company Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose - to uplift everyone, everywhere by being the best way to pay and be paid.
Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa.
Job Description  Visa's Technology Organization is a community of problem solvers and innovators reshaping the future of commerce. We operate the world's most sophisticated processing networks capable of handling more than 65k secure transactions a second across 80M merchants, 15k Financial Institutions, and billions of everyday people. While working with us you'll get to work on complex distributed systems and tackle massive scale problems centered on new payment flows, business and data solutions, cyber security, and B2C platforms.
The Opportunity:
We are seeking a versatile, curious, and energetic Senior Director to join our team of passionate and dedicated engineers and data scientists. We collaborate on Data Engineering and Machine Learning developments at Visa, tackling complex challenges on a global scale! As a Senior Director at Visa, you will play an integral role in a multi-functional development team, inventing, designing, building, and testing products that serve a truly global customer base. Join us and see how your efforts will shape the digital future of payments.
You will have an opportunity to change the way data products are developed at Visa!
Essential Functions:   Be a technology thought leader in the domain of ML and applied science in fintech space.
Use Generative AI to improve business workflows around core mission critical logic related to dispute management and merchant representment.
Build metrics and evaluations as we migrate business logic to LLMs.
Build high fidelity models for risk assessment in fintech space.
Build engineering systems to run the models at scale in production workflows.
Ensure alignment to data management principles, governance, process, and tools to maintain quality across all projects.
Supervise testing code in a common testing environment to assess compatibility.
Lead regular calls with production support teams to address issues with code.
Shape the direction for the development of tools and automation processes that assist in transforming, optimizing, managing, accessing, deploying, and monitoring data processes in batches and in real time.
Monitor and supervise efforts to automate advanced data protocols, reduction techniques, and aggregation approaches to validate the quality of extracted data across the data pipeline.
Lead efforts to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling, complex data modeling, and artificial intelligence.
This is a hybrid position. Hybrid employees can alternate time between both remote and office. Employees in hybrid roles are expected to work from the office 2-3 set days a week (determined by leadership/site), with a general guidepost of being in the office 50% or more of the time based on business needs.
Qualifications   Basic Qualifications:
12+ years of relevant work experience with a Bachelor's Degree or at least 9 years of work experience with an Advanced degree (e.g. Masters, MBA, JD, MD) or 6 years of work experience with a PhD, OR 15+ years of relevant work experience.
Preferred Qualifications:
15 or more years of experience with a Bachelor's Degree or 12 years of experience with an Advanced Degree (e.g. Masters, MBA, JD, or MD), PhD with 9+ years of experience.
11+ years of relevant work experience with a bachelor's degree in computer science, Computer Engineering, or related field.
Five (5) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS).
Two (2) years of experience designing, implementing, and maintaining ETL pipelines.
Two (2) years of experience implementing and supporting real-time systems.
Additional Information   Work Hours:  Varies upon the needs of the department.
Travel Requirements:  This position requires travel 5-10% of the time.
Mental/Physical Requirements:  This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers.
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
U.S. APPLICANTS ONLY:  The estimated salary range for a new hire into this position is 0.00 to per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401 (k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program.

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