Owns monitoring and reporting for personal-loan credit and model performance, investigates trends and unexpected outcomes, and recommends data-driven treatments. Requires a quantitative master’s degree, 6+ years of analytics or data-science experience, and Python and SQL expertise.
157k – 218k/yr
Remote6+ YOEData Analytics
About the role
Responsibilities
Own credit and performance monitoring for the Personal Loans product.
Identify performance trends, investigate root causes, and recommend targeted treatments.
Perform rigorous statistical analyses to evaluate past experiments and natural experiments.
Build and maintain workflows that automate and scale standard reporting.
Provide regular model and credit performance visibility to senior leadership and support data-driven decision-making.
Requirements
Master’s degree in a quantitative field such as Statistics, Mathematics, Economics, Finance, Operations Research, Physics, or a related field.
6+ years of experience in analytics, data science, or a related quantitative field.
Experience with Python and SQL.
Strong analytical and first-principles thinking, with the ability to tackle complex and ambiguous problems.
Strong communication, presentation, and collaboration skills, including the ability to clearly explain complex analytical concepts to diverse audiences.
Nice-to-Haves
PhD in a quantitative field.
Experience or familiarity with finance, especially lending.
Compensation and Benefits
Anticipated base salary range: $157,000–$217,500 USD.
Target bonuses, equity compensation, and benefits including medical, dental, vision, and 401(k) coverage.
Company retirement match, employee stock purchase plan, paid time off, paid family and parental leave, wellness and productivity allowances, and employee assistance resources.
Remote work with team collaboration across time zones ranging from EST to PST; regular onsite meetings may be required.
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