Senior Quantitative Risk Analyst

Job Description: • Lead loss forecasting by leveraging data science models and applying business overlays to project portfolio performance. • Monitor and analyze credit metrics across multiple loan products, identifying key risks, trends, and opportunities. • Prepare and present portfolio forecasts and credit/fraud performance updates to executives, the Board, and rating agencies. • Validate and challenge credit and fraud risk models to ensure methodological soundness, transparency, and regulatory compliance. • Partner cross-functionally with Finance, Capital Markets, and Data Science to align risk insights with business strategy. Requirements: • 3+ years in a data-driven role, ideally within credit or fraud risk. • Strong proficiency in SQL for data extraction and Python for statistical modeling and analysis. • Experience with loss forecasting, particularly in consumer lending products. • Skilled in data visualization and BI tools (e.g., Looker, Tableau) as well as Excel and PowerPoint. • Strong analytical thinker with excellent communication and presentation abilities. • Detail-oriented, intellectually curious, and able to manage multiple priorities under tight deadlines. Benefits: • Health, Dental, & Vision benefits plus savings plans • Mac computers + work-from-home stipend to set up your home office • Monthly internet and phone reimbursement • Employee Stock Purchase Plan • Restricted Stock Units (RSUs) • 401(k) plan to help you save for retirement plus a company match • Robust tuition reimbursement program • $1,000 travel perk on each Earnie-versary to anywhere in the world • Competitive days of annual PTO • Competitive parental leave Apply tot his job Apply tot his job