Manager, Loss Forecasting (Analytics) (R12272)

POSITION SUMMARY

The Manager of Loss Forecasting is responsible for forecasting delinquencies and credit losses for Oportun’s portfolio.  This highly visible role is instrumental in ensuring Oportun continues to meet its credit quality objectives, as wells as in setting the loss expectations for Fair Value.  The Manager of Loss Forecasting works cross functionally with Risk Strategy Collections, and Financial Planning to improve forecasting accuracy and ensure the loss forecast reflects strategic changes in the business.

Key Responsibilities:

• Independently develop loss forecasting models using advanced data and analytical skills. Be the full owner for the model update, monitoring and enhancement.
• Forecast delinquencies and losses for various business purposes (e.g., business planning, fair value, funding etc.) and communicate forecasting results along with assumptions, trends and changes in key drivers to executive management and business partner teams.
• Actively manage the forecasting deliverable timelines to ensure timely completion of the forecasting processes.
• Establish and perform rigorous controls to the forecasting processes. Monitor and adjust assumptions used by the model to ensure the forecast accurately reflects changing trends. Report and interpret variances between different forecasts and actuals.
• Manage cross functional communications with Risk Management, Collections and Financial Planning to incorporate strategic initiatives into forecast and influence the business strategy.
• Have deep understanding of the models owned and be able to respond to internal/external auditors and/or regulators for audited or regulated forecasting processes.
• Support Collections team in setting performance goals and planning staffing and expenses by providing delinquency and loss forecast
• Support ad-hoc forecasting or analytical requests

REQUIRED QUALIFICATIONS

• Bachelor’s Degree in Engineering, Mathematics, Statistics, Economics, Finance, or other analytical discipline. Master’s degree preferred
• 4+ years of experience in a loss forecasting, modeling/data science or analytics role in the credit risk space in the financial services industry
• Advanced Python, SAS and SQL (or similar language) programming skills
• Advanced Microsoft Excel and PowerPoint skills
• Exceptional problem solving and analytical skills with the ability to maintain the highest standard of integrity, accuracy and precision
• Excellent written and oral communication skills
• Ability to work in a fast-paced environment and meet tight deadlines

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