Forecasting Manager

About the Role

Best Egg is looking for an experienced Credit Forecasting Manager to strengthen our credit risk forecasting and portfolio analytics capabilities.

This role will focus on understanding how the portfolio is performing, where risk may be changing, and what those changes mean for the business. You’ll work closely with Risk, Finance, Data Science, Product, and Operations to turn complex data into practical decisions.

What You’ll Do

Build and improve credit loss and portfolio forecasting models.

Analyze delinquency, losses, vintage performance, and emerging credit trends.

Develop scenarios and stress tests to understand how the portfolio may perform under different conditions.

Use SQL and analytical tools to work with large and complex datasets.

Monitor forecast accuracy and key risk indicators, and recommend changes when assumptions no longer hold.

Partner with Finance, Risk, Data Science, Product, and Operations on credit strategy and planning.

Support underwriting, portfolio management, CECL, model governance, and related risk initiatives.

Prepare clear reporting and presentations for senior leadership.

What We’re Looking For

Experience in credit risk, portfolio analytics, forecasting, or quantitative analysis within banking, consumer lending, fintech, or financial services.

Strong understanding of consumer credit, delinquency, losses, underwriting, and portfolio performance.

Advanced SQL skills and experience working with large datasets.

Strong statistical, forecasting, and financial modeling capabilities.

Experience with Excel and data visualization tools; Python, R, or VBA is a plus.

Familiarity with credit loss forecasting, vintage or cohort analysis, roll rates, stress testing, or CECL is highly valuable.

Able to explain complex analysis clearly and turn it into decisions people can actually use.

Comfortable challenging assumptions and working across both technical and business teams.

What Matters in This Role

A good forecast is not just a model that looks accurate on paper. It should help the business see risk earlier, understand what is changing, and make better decisions before the numbers become a problem.

We’re looking for someone who can do both sides of that work: understand the data deeply and explain what it means in practical business terms.

Pay: $160,000.00 - $225,000.00 per year

Benefits:

• 401(k)
• 401(k) matching
• Dental insurance
• Dependent care reimbursement
• Flexible schedule
• Flexible spending account
• Health insurance
• Health savings account
• Internet reimbursement
• Life insurance
• Paid time off
• Professional development assistance
• Referral program
• Vision insurance
• Work from home

Work Location: Remote