Block is one company built from many blocks, all united by the same purpose of economic empowerment. The blocks that form our foundational teams — People, Finance, Counsel, Hardware, Information Security, Platform Infrastructure Engineering, and more — provide support and guidance at the corporate level. They work across business groups and around the globe, spanning time zones and disciplines to develop inclusive People policies, forecast finances, give legal counsel, safeguard systems, nurture new initiatives, and more. Every challenge creates possibilities, and we need different perspectives to see them all. Bring yours to Block.<h3>Team</h3>The Model Risk Management team ensures our machine learning models are safe, reliable, and compliant with regulatory requirements. We focus on building automated validation tools while maintaining high standards for model assessment. Our work helps prevent errors and bias while making sure models are used appropriately across Block. We work closely with teams throughout the company to establish practical governance frameworks, assess model performance, and share best practices. As a core part of the compliance organization, we support all key areas of Block regardless of product or market.<h3>The Role</h3>We're looking for a Data Scientist to help us make our model validation process both more efficient and more thorough. You'll split your time between hands-on model validation work and developing tools to automate these processes. Your experience validating ML models will be key in building practical solutions that help our team work more effectively.To start, you'll validate machine learning models across our anti-money laundering (AML), Know Your Customer (KYC), and sanctions screening systems. This hands-on work will help you spot patterns and opportunities where automation can help, leading to a greater focus on building and improving our validation frameworks.We're looking for someone with strong technical skills in both quantitative analysis and software engineering. You should be detail-oriented and familiar with relevant regulations and industry standards. Clear communication and the ability to work both independently and as part of a team are essential.<h3>You Will</h3>Primary Focus:<ul><li>Build tools that make model validation faster and more consistent</li><li>Create validation components we can reuse across different projects</li><li>Develop automated approaches for common tasks like:</li><ul><li>Checking model performance</li><li>Running statistical tests</li><li>Verifying data quality</li><li>Testing model assumptions</li><li>Tracking performance changes over time</li></ul><li>Build testing frameworks that work for different types of models</li><li>Create tools that help generate clear validation reports</li><li>Set up systems to continuously monitor model performance</li></ul>Immediate Responsibilities:<ul><li>Assess machine learning models using statistical analysis and testing</li><li>Look for patterns in validation work that could be automated</li><li>Set up ways to track how models perform over time</li><li>Keep validation documentation clear and up-to-date</li><li>Work with other teams to understand their validation needs</li><li>Build good working relationships while keeping business goals in mind</li></ul><h3>You Have</h3>Required:<ul><li>Advanced degree in Statistics, Mathematics, Physics, Computer Science, or related quantitative field</li><li>5+ years experience in model validation or risk management, with focus on machine learning models; or 3+ years and a graduate degree</li><li>Strong software engineering practices and experience building maintainable, well-documented code</li><li>Expertise in Python for building robust validation frameworks and automation tools</li><li>Strong understanding of machine learning algorithms and statistical testing methodologies</li><li>Advanced SQL skills for data analysis and validation automation</li><li>Experience with test automation and software testing frameworks</li><li>Strong quantitative skills with the ability to identify patterns in validation processes</li><li>Experience building modular, reusable code and tools</li><li>High ethical standards with a commitment to integrity and professionalism</li></ul>Preferred:<ul><li>Experience developing internal tools or validation frameworks</li><li>Knowledge of software development best practices (version control, unit testing, CI/CD)</li><li>Experience validating models in regulatory environments (SR 11-7)</li><li>Experience with AML, KYC, fraud detection, or other financial compliance models</li><li>Knowledge of emerging technology validation approaches</li><li>Experience with data visualization tools (e.g., Looker) for monitoring and reporting</li></ul><h3>Why Block?</h3>At Block, you'll be at the forefront of transforming how we approach model risk management through automation. Your work will not only ensure the reliability and safety of our machine learning systems but will also create lasting impact by building the tools and frameworks that will shape the future of model validation. This is a unique opportunity to combine technical expertise in machine learning, validation, and software development to create innovative solutions in the fintech space.We value diversity of perspectives because they fuel creativity and innovation. We offer competitive compensation packages, benefits, and perks, along with opportunities for career growth and professional development. As a Data Scientist in Model Risk Management at Block, you will be part of a team that is committed to providing reliable and accurate decision-making support while minimizing risk and delivering long-term value to the organization and its stakeholders.If you are passionate about using your quantitative and technical skills to make an impact on economic empowerment while building the future of model validation, join us at Block!We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.Zone A:$163,600 — $245,400 USDZone B:$155,400 — $233,200 USDZone C:$147,300 — $220,900 USDZone D:$139,000 — $208,600 USDEvery benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.Check out our other benefits at Block.
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It all started with an idea at Block in 2013. Initially built to take the pain out of peer-to-peer payments, Cash App has gone from a simple product with a single purpose to a dynamic ecosystem, developing unique financial products, including Afterpay/Clearpay, to provide a better way to send, spend, invest, borrow and save to our 50+ million monthly active customers. We want to redefine the world’s relationship with money to make it more relatable, instantly available, and universally accessible.

Today, Cash App has thousands of employees working globally across office and remote locations, with a culture geared toward innovation, collaboration and impact. We’ve been a distributed team since day one, and many of our roles can be done remotely from the countries where Cash App operates. No matter the location, we tailor our experience to ensure our employees are creative, productive, and happy.
The Role   The Data Science team at Cash App derives valuable insights from our extremely unique datasets and turns those insights into actions that improve the experience for our customers every day. In this role, you’ll be embedded in our Banking Core team, which is focused on making Cash App the best place to deposit and manage your money. The team’s mission includes driving significant inflows to Cash App through products like direct deposit and paper money deposit, making Cash App a compelling option for customers to want to direct deposit their paychecks. You’ll work closely with product managers and other cross-functional partners to derive insights from complex data, inform product strategy, and drive data-driven decision-making.
You Will    Analyze large datasets using SQL and scripting languages to surface actionable insights and opportunities to the product team and other key stakeholders
Approach problems from first principles, using a variety of statistical and mathematical modeling techniques to research and understand customer behavior
Design and analyze A/B experiments to evaluate the impact of changes we make to the product
Work with engineers to log new, useful data sources as we build new product features
Build, forecast, and report on metrics that drive strategy and facilitate decision making for key business initiatives
Write code to effectively process, cleanse, and combine data sources in unique and useful ways, often resulting in curated ETL datasets that are easily used by the broader team
Build and share data visualizations and self-serve dashboards for your partners
Effectively communicate your work with team leads and cross-functional stakeholders on a regular basis
You Have    Experience working with large cross-functional teams on implementing data strategies
A bachelor degree in statistics, data science, or similar STEM field with 8+ years of experience in a relevant role OR
A graduate degree in statistics, data science, or similar STEM field with 5+ years of experience in a relevant role
Advanced proficiency with SQL and data visualization tools (e.g. Tableau, Looker, etc)
Experience with scripting and data analysis programming languages, such as Python or R
Gone deep with cohort and funnel analyses, a deep understanding statistical concepts such as selection bias, probability distributions, and conditional probabilities
Technologies We Use and Teach   We’re working to build a more inclusive economy where our customers have equal access to opportunity, and we strive to live by these same values in building our workplace. Block is an equal opportunity employer evaluating all employees and job applicants without regard to identity or any legally protected class. We also consider qualified applicants with criminal histories for employment on our team, and always assess candidates on an individualized basis.
We believe in being fair, and are committed to an inclusive interview experience, including providing reasonable accommodations to disabled applicants throughout the recruitment process. We encourage applicants to share any needed accommodations with their recruiter, who will treat these requests as confidentially as possible.
Block will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.
Block takes a market-based approach to pay, and pay may vary depending on your location. U.S. locations are categorized into one of four zones based on a cost of labor index for that geographic area. The successful candidate’s starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. These ranges may be modified in the future.
To find a location’s zone designation, please refer to this resource.
Compensation Ranges   Zone A: $171,800 — $257,600 USD
Zone B: $163,200 — $244,800 USD
Zone C: $154,600 — $232,000 USD
Zone D: $146,000 — $219,000 USD
Every benefit we offer is designed with one goal: empowering you to do the best work of your career while building the life you want. Remote work, medical insurance, flexible time off, retirement savings plans, and modern family planning are just some of our offering.  Check out our other benefits at Block.
Block, Inc. (NYSE: XYZ) builds technology to increase access to the global economy. Each of our brands unlocks different aspects of the economy for more people.

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Data Scientist Model Risk ManagementMarch 25, 2025

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Data Scientist Model Risk Management
March 25, 2025

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March 16, 2025