Staff Data Scientist, ML (Credit Risk)
Join us in building the future of finance.
About the team + role
What you'll do
• Build credit risk models for customer acquisitions (credit approval and credit limit assignment) and customer management
• Collaborate with credit analysts and product managers to understand the business problem and deliver appropriate models to solve them
• Create rich datasets leveraging both traditional and non-traditional data sources. Work on innovative tools to generate powerful features that boost models
• Deploy, maintain and monitor models in production
• Communicate with senior stakeholders in credit, product and engineering to deliver key results and findings
What you bring
• You have 7+ years of experience in data science and credit modeling
• You have strong proficiency in SQL and Python for data analysis and modeling
• You have experience designing experiments and interpreting results to guide product decisions
• You have domain knowledge and expertise in traditional credit data. Experience with non traditional credit data (such as cash flow) is a plus
• You communicate clearly with both technical and non-technical partners
What we offer
• Challenging, high-impact work to grow your career
• Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching
• Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not
• Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more
• Employer-paid life & disability insurance, fertility benefits, and mental health benefits
• Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
• Exceptional office experience with catered meals, events, and comfortable workspaces.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Not included in the source posting: qualifications.
Skills
Who can apply
The employer didn't state any visa, work authorization, citizenship or clearance requirements in this posting. Confirm with the employer before applying.
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