Manager, Loss Forecasting (Analytics role)

The Manager of Loss Forecasting is responsible for forecasting delinquencies and credit losses for Oportuns portfolio. This highly visible role is instrumental in ensuring Oportun continues to meet its credit quality objectives. 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.

ROLE DESCRIPTION

• Forecast delinquencies and losses for various forecasting purposes (e.g., business planning, fair value, etc.) using forecasting models for Oportuns consumer lending portfolios; communicate forecasting results along with assumptions and trends/changes in key drivers to executive management.
• Develop and implement loss forecasting models. Monitor model performance on an ongoing basis.
• Monitor and adjust assumptions used by model to ensure forecast accurately reflects changing trends.
• Report and interpret variances between different forecasts and variances between forecast and actual.
• Perform documentation and other controls in forecasting processes.
• Respond to internal/external auditors and/or regulators for audited or regulated forecasting processes.
• Manage cross functional communications with Risk Management, Capital Market, Collection and Financial Planning to incorporate strategic initiatives into forecast.
• 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.
• Mentor, lead, motivate and care for members of your analytics team

REQUIRED QUALIFICATIONS

• Bachelors degree in engineering, Mathematics, Statistics, Economics, Finance, or other analytical discipline. Masters degree preferred.
• 5+ years of experience in Analytics/Risk Analytics with 2+ 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, SQL and SAS (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.