Flexcar · 10 hours ago
Risk Analytics Specialist
Boston, MA
Full-time
Onsite
Entry, Mid Level
$90K/yr - $104K/yr
2+ years expFlexcar is a dynamic startup pioneering a new category in the automotive industry, offering zero-down, month-to-month car leases. The Risk Analytics Specialist will play a crucial role in transforming risk management into a strategic growth partner, focusing on predictive modeling, metrics ownership, and data-driven policy influence.
AutomotiveCustomer ServiceRetail
Responsibilities
Own daily, weekly, monthly, and quarterly tracking across 8 Risk functions: approval rates, fraud detection, delinquency patterns, compliance metrics, and feature impact. Become the "source of truth" for Risk performance
Build predictive models for credit risk scoring, fraud propensity, and claims forecasting. Evaluate features through structured business cases: hypothesis → analysis → recommendation → deployment → monitoring. Example: "Lowering credit threshold to 620 increases approvals 3%, defaults 1.2%, net positive per customer."
Navigate competing stakeholder interests (Risk vs. Growth) through data credibility. Recommend policies backed by evidence. Success metric: >50% of recommendations adopted by leadership
Conduct quarterly variance analysis connecting Risk metrics to financial impact. By Month 12, articulate how policy changes affect profitability and contribute to financial strategy discussions
Design valid experiments (A/B tests, cohort analysis, scenario testing). Maintain documentation, dashboards, and processes. Improve data infrastructure and analytical tooling
Qualification
Required
Bachelor's degree in Statistics, Economics, Data Science, Computer Science, Mathematics, Finance, or Engineering
2-4 years in data analytics, product operations, data science, risk modeling, or related analytical role
SQL: Intermediate-Advanced (joins, subqueries, window functions; complex query in 1-2 hours)
BI Tools: Tableau, Looker, Sigma, Lovable, or Power BI (design dashboards, create compelling visualizations)
Statistics: Understand statistical significance, confidence intervals, A/B test design, hypothesis testing, Model Performance Management
Python or R: Write analytical scripts independently, understand library documentation, debug code
Predictive Modeling: Linear/logistic regression, decision trees, random forests, time series forecasting
Communication: Explain complex technical findings to non-technical stakeholders in accessible language
Cross-Functional Collaboration: Navigate competing interests, build credibility across Risk, Product, Finance
Influencing Without Authority: Recommend policies through evidence and data credibility, not position
Business Acumen: Connect analytics to P&L implications, understand Flexcar business model
Domain experience (FinTech/InsurTech/), cloud platforms (Snowflake/Sigma/Redash), Agile methodologies
Pragmatism: Balance rigor with timeline pressure (80% accurate in 1 week beats perfect in 4 weeks)
Benefits
Flexible PTO policy.
401(k) plan with company match from day one.
Excellent, low-cost healthcare coverage including: medical, dental, vision, eligibility day one.
Discounted employee rate on Flexcar products and no annual membership fee.
Company
Flexcar
Flexcar is a vehicle subscription company that offers insurance and maintenance services.
201-500 employees
Funding
Current Stage
Growth StageLeadership Team
Ryan Quinlan
Chief Operating Officer
Alisha Gandhi, MLER
Talent Acquisition Partner
Recent News
2025-01-29
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2023-10-11
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