Qualifications

• Bachelor's Degree in Mathematics, Statistics, Econometrics, Operations Research, Computer Science, or other quantitative fields.
• Proficient in Python for data analysis and manipulation.
• Familiarity with SQL, Snowflake, and Tableau is advantageous.
• Strong skills in Excel and PowerPoint for presenting data.
• Excellent communication and presentation abilities.
• Prior experience in data analytics or lending products is beneficial.
• Knowledge of model training, deployment, and monitoring is a plus.

Responsibilities

• Conduct data analysis to enhance credit risk, origination volume, and funnel conversion.
• Apply statistical and segmentation tools to create business strategies for personal loans that align with risk-return targets.
• Extract and analyze data from both internal databases and external vendor sources using analytical tools.
• Forecast delinquency rates and loss curves for consumer lending products.
• Develop and implement tracking processes for monthly portfolio performance and credit insights.
• Communicate analyses and recommendations to stakeholders across the company.
• Perform a variety of analyses, including descriptive measurement, dashboarding, and predictive forecasting.
• Design and test various credit and marketing strategies through A/B testing and data-driven recommendations.
• Engage in model building and feature engineering initiatives.
• Collaborate with cross-functional teams including data science, marketing, product, and operations.

Benefits

• Healthcare, Life Insurance, 401k Match
• Paid Time Off and a 12-week Paid Parental Leave
• Disability coverage (short-term and long-term)
• Employee Assistance Program
• Spending Accounts for Transit/Parking, Medical, and Dependent Care
• Insurance Discounts for home, auto, and pet