Risk Data Scientist
Location: Downtown Boston - Preferred Onsite-CA/GA/TX - Optional Onsite hub locations | Employment Type: Exempt Full Time
About the role
Flexcar is seeking a Risk Data Scientist to manage model-driven approaches to credit, accident, and fraud risk. We’re looking for someone who can own the full lifecycle of our risk modeling stack: building and calibrating models, managing the platforms they run on, and translating results into actionable recommendations. This is a hands-on individual contributor role. You’ll work closely with our Risk, Finance, Product, and Operations teams and have significant influence over how we balance growth against risk exposure. The models you build matter, and you’ll see their results in real performance data. Flexcar’s unique set of data provides an exciting arena to find signals in new and creative ways. The role spans modeling, platform management, and analytics, which means no two weeks look the same. If you want immediate impact and ownership across a full risk stack, this is the fit for you.
Responsibilities
- Risk Modeling & Model Development with AI: Build, refine, and maintain eligibility models and risk scoring frameworks used to make real-time application decisions using the latest AI tools
- Balance multiple initiatives at once, collaborating across the organization to rapidly solve problems through applied data science
- Own calibration and ongoing improvement of our Safe Driving Score and related behavioral risk models
- Lead feature selection, target variable development, and model validation
- Collaborate with stakeholders to set risk thresholds that balance growth with loss targets
- Model Platform & Vendor Integration: Manage our modeling environment and maintain our orchestration platform, where all risk models and decision workflows live
- Monitor data quality and technical integrations with data vendors across fraud, credit, debt, public records, and driving history, working with our Data Engineering and data pipelines are current and models are ingesting the right inputs
- Partner