Staff Data Scientist, Credit Risk Modeling Lead

Robinhood; Bellevue (WA); On-site; USD 217,000 - 255,000; Full time

Benefits offered by this job

Bonus programs

Equity

401k matching

Health insurance

AI tools

Benefits wallet

Life insurance

Disability insurance

Parental leave

Paid time off

Job summary

Robinhood is seeking a Staff Data Scientist to build credit risk models that guide lending decisions and customer management. You will own the full lifecycle from data prep to deployment, collaborating with credit analysts, product managers, and engineers.

The role is based in Bellevue, WA, Menlo Park, CA, or Washington, DC with in-person attendance expected at least 3 days per week to accelerate progress and collaboration.

Qualifications

• 7+ years of experience in data science and credit modeling.
• Strong proficiency in SQL and Python for data analysis and modeling.
• Experience designing experiments and interpreting results to guide product decisions.
• Domain knowledge and expertise in traditional credit data. Experience with non-traditional credit data (such as cash flow) is a plus.
• Clear communication with both technical and non-technical partners.

Responsibilities

• 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.

Skills

SQL

Python

Experiment design

Credit data knowledge

Non-traditional data

Communication

Job description

Robinhood is seeking a Staff Data Scientist to build credit risk models that guide lending decisions and customer management. You will own the full lifecycle from data prep to deployment, collaborating with credit analysts, product managers, and engineers.

The role is based in Bellevue, WA, Menlo Park, CA, or Washington, DC with in-person attendance expected at least 3 days per week to accelerate progress and collaboration.