Staff Data Scientist, ML (Credit Risk)

Hiring: Staff Data Scientist, ML (Credit Risk). Remote. US-based candidates only.

Remote Staff Data Scientist, ML (Credit Risk). full time. Open to candidates in Remote. Apply now.

About the Role

About the position

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated \$124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite group, applying frontier technologies to the world's biggest financial problems. We're looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn't a place for complacency, it's where ambitious people do the best work of their careers. We're a high-performing, fast-moving group with ethics at the center of everything we do. Expectations are high, and so are the rewards. The Credit Card business group's mission is to shape Robinhood’s vision in the credit and banking space by delivering smart, customer-focused financial solutions. Our crew is dedicated to reshaping the credit landscape and redefining the way people interact with financial services daily. We leverage cutting-edge analytical tools and diverse datasets to build deep understandings of consumer credit behaviors. We aim to make financial services accessible to everyone, building programs that support Robinhood’s broader goals! As a Staff Data Scientist, you'll build credit risk models that allow us to better serve our customers and make responsible lending decisions. Credit models are at the heart of all lending decisions. These models will drive decisions ranging from approve/decline, line assignment at origination and future credit limit increases. Your role involves leverage traditional and non-traditional data sources to build highly predictive risk models. You'll own the full lifecycle of model development from data prep, model building to model deployment. This role is based in our Bellevue, WA, Menlo Park, CA, or Washington, DC office(s), with in-person attendance expected at least 3 days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office hands-on history is intentional, energizing, and designed to fully support high-performing teams.

Responsibilities

What we're looking for

Nice-to-haves

What we offer

Key Responsibilities

• Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office background with catered meals, events, and comfortable workspaces.
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Create rich datasets leveraging both traditional and non-traditional data sources.
• Employer-paid life & disability insurance, fertility what we're offering, and mental health perks
• Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them
• 7+ years of experience in data science and credit modeling
• Deploy, maintain and monitor models in production
• Lifestyle wallet - a highly flexible what we provide spending account for wellness, learning, and more
• Hands-on history designing experiments and interpreting results to guide product decisions
• Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings

Skills & Tools Mentioned

• Data analysis
• Python
• Sql

Frequently Asked Questions

Is this Staff Data Scientist, ML (Credit Risk) role remote?
Yes — 100% remote. Work from anywhere in Remote.

Employment type for this Staff Data Scientist, ML (Credit Risk) job?
full time. Ideal for remote professionals.

What skills are needed for this Staff Data Scientist, ML (Credit Risk) role?
Key skills include Data analysis, Python, Sql. These are core to succeeding in this role.

How to apply?
Click Apply Now above. Rolling interviews.

Apply now. Interviews are ongoing.