Staff Data Scientist, Credit Policy (Square Financial Services)
Block is hiring a Staff Data Scientist, Credit Policy (Square Financial Services). Level rates it ; you can apply on Block.
Level's read on this job
- Level rates this data scientist role Builds AI ●●●●: the job is building AI systems.
- The posting mentions credit risk, underwriting and data science among its tools and skills.
- Level classes it as a senior role.
- Block has 192 other open roles on Level.
- Posted within the past week.
AI in this role
Own credit policy and predictive modeling for underwriting new customer segments at Square Financial Services.
Block builds simple, powerful tools that make progress towards an economy that’s truly open to all.
Each of our brands unlocks different aspects of the economy for more people. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone. Join us.
The Role
The Credit and Lending team is responsible for the predictive intelligence that underpins Block’s primary capital-intensive products. These products unlock unique access to credit for our customers, many of whom are otherwise underbanked and underserved by the traditional financial system. As a member of the Credit Policy team within Square Financial Services (SFS), you will occupy a high-leverage role at the intersection of regulated banking and advanced autonomous systems. This position requires end-to-end ownership of credit policy, from the evaluation of novel data signals to the design of the decisioning logic that drives Block’s top-line growth. Beyond policy design, this role carries core responsibility for credit policy governance: ensuring that policy changes and experiments are rigorously designed, reviewed, documented, monitored, and reported in line with the expectations of a regulated bank.
Our credit products are material drivers of the company’s profitability and are frequently highlighted in executive reviews and quarterly earnings reports. We are seeking a scientifically-minded contributor capable of delivering extraordinary individual leverage to expand our underwriting capabilities into previously untapped segments through pragmatic policy evolution and advanced modeling techniques.
You Will
- Apply a rigorous scientific mindset to the challenge of underwriting new customer segments, involving the evaluation of alternative external data sources and the design of new policy strategies to expand access while protecting the portfolio.
- Own credit policy governance and reporting: maintain policy documentation, change logs, and approval artifacts, and deliver recurring portfolio performance and policy-impact reporting to credit risk committees, senior leadership, and bank oversight functions.
- Propose and design experiments for credit products — champion/challenger tests, randomized holdouts, and staged rollouts across approval, limit, and pricing strategy — with clear hypotheses, success metrics, guardrails, and loss-exposure budgets.
- Review experiment designs proposed by partner teams, assessing statistical rigor, sample sizing, risk exposure, fair lending considerations, and alignment with credit policy and regulatory requirements before launch.
- Form policy guidelines and frameworks — risk appetite thresholds, approval and limit standards, and concentration limits — that enable credit portfolios to scale responsibly while meeting growth, loss, and profitability objectives.
- Partner with Risk Management, Compliance and Internal Audit teams to ensure policy changes meet governance standards and are well documented and exam-ready.
- Support team members in ad-hoc and scheduled updates to existing policies and strategies, and help troubleshoot issues in a real-time production environment.
- Operate effectively within the framework of a regulated bank (SFS), balancing rapid innovation with the requirements of safety, soundness, and compliance.
Qualifications
- 8+ years of related experience with a Bachelor's degree; or 6+ years and a Master's degree; or a PhD with 3+ years experience; or equivalent experience
- A degree in a technical field (e.g., Computer Science, Mathematics, Statistics, Physics, or Engineering). We have a strong preference for candidates with a demonstrated track record of scientific research or an advanced degree.
- Demonstrated experience in credit policy governance at a bank, fintech, or consumer/small business lender — including documenting and approving policy changes, preparing materials for credit or risk committees, and supporting regulatory exams and internal audits.
- Hands-on experience proposing, designing, and reviewing experiments for credit products (e.g., champion/challenger tests, randomized holdouts, and staged rollouts on approval, line assignment, or pricing), including power and sample sizing, loss-exposure guardrails, and decision-ready readouts.
- A track record of building and owning portfolio monitoring and reporting — KPIs, early-warning indicators, vintage and roll-rate analysis — used to steer credit policy and communicate performance to leadership.
- Experience translating business objectives into credit policy guidelines, such as risk appetite thresholds, approval and limit standards, and concentration limits, that allow portfolios to scale while staying within loss and profitability targets.
- Familiarity with regulatory expectations for credit products is strongly preferred.
- Strong quantitative intuition and data visualization skills, with a proven ability to conduct sophisticated ad-hoc and exploratory analysis.
- Strong proficiency in SQL and Python preferred, including the ability to contribute across the analytical stack—from data pipelines to production-ready policy logic.
- The versatility to communicate clearly with both technical and non-technical audiences, particularly in the context of high-visibility projects and senior stakeholders.
- A pragmatic approach to problem-solving, with a willingness to utilize whichever tool is most appropriate for the situation while balancing complex business, technical, and regulatory constraints.
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. If a location of interest is not listed, please speak with a recruiter for additional information.
Zone A:$198,000—$297,000 USDZone B: $188,100—$282,100 USDZone C:$178,200—$267,400 USDZone D:$168,300—$252,500 USD
Application Guidelines
Candidates may submit up to 9 active applications within a 60-day period. Reapplications to the same role are accepted 90 days after a previous application has been reviewed.
Use of AI in Our Hiring Process
We may use automated AI tools to evaluate job applications for efficiency and consistency. These tools comply with local regulations, including bias audits, and we handle all personal data in accordance with state and local privacy laws.
Contact us here with hiring practice or data usage questions.
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. Square makes commerce and financial services accessible to sellers. Cash App is the easy way to spend, send, and store money. Afterpay is transforming the way customers manage their spending over time. TIDAL is a music platform that empowers artists to thrive as entrepreneurs. Bitkey is a simple self-custody wallet built for bitcoin. Proto is a suite of bitcoin mining products and services. Together, we’re helping build a financial system that is open to everyone.
How we rate this
Staff Data Scientist, Credit Policy (Square Financial Services) at Block rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $168k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where credit risk was part of your work. What did you do?
- Tell me about a project where underwriting was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where governance was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Credit Risk, Underwriting, Data Science, Predictive Modeling, and Governance. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
Get your CV reviewed before you apply
Send your CV and the role you want next. Your review arrives by email within 3 days.
Get new data scientist jobs (Builds AI ●●●●) by email
One email a week, each job rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free.
Similar roles
Data roles that build AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step