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Loss Forecasting & Performance Analytics Manager

Remote

Our mission is to make higher education accessible and affordable for everyone. We empower students with financial support and supercharge their ability to pay down their debt, so they can get on the right financial track, fast.

We build tools that help people feel in control of their financial future, including:

  • Private student loans - low rates, people-first service, and flexible payments.
  • Student loan refinancing - break free from high-interest rates or monthly payments.
  • Scholarships - access to thousands of scholarships to help students pay less.

Earnies are committed to helping students live their best lives, free from the stress of student debt. If you’re as passionate as we are about our mission, read more below, and let’s build something great together! 

The Loss Forecasting & Performance Analytics Manager will report to the Head of Risk.

As the Loss Forecasting & Performance Analytics Manager, you will:

  • Lead the development, maintenance, and monitoring of loss forecasting models across Earnest’s loan portfolios (e.g., Student Loan Refinance, Private Student Loan, Personal Loan).
  • Analyze portfolio performance, providing data-driven insights and actionable recommendations to improve risk and profitability.
  • Collaborate with teams across credit strategy, finance, and capital markets to strengthen loss forecasting and analytics processes.

Your Impact:

  • Set the technical direction for loss forecasting and performance analytics by proposing methodologies, tools, and technologies to drive portfolio insights and decision-making.
  • Develop and maintain loss forecasting models incorporating macroeconomic conditions and other relevant factors to establish forward-looking views of performance and risks.
  • Analyze and present portfolio performance metrics such as life-of-loan losses, ROE sensitivity, and variance between actual and forecasted outcomes to senior executives and external stakeholders.
  • Build and enhance robust data pipelines and governance processes to ensure data accuracy, quality, and reliability.
  • Create executive-ready materials for performance insights, rating agency updates, and financing due diligence.
  • Drive innovation in tools, methodologies, and data use to improve risk and portfolio analysis.
  • Manage multiple projects and stakeholders, ensuring timely execution

About You: 

  • 6+ years of experience in risk modeling, credit performance analysis, or related fields, including developing and maintaining loss forecasting models.
  • 3+ years of hands-on experience in SQL and Python programming for advanced data analysis and modeling.
  • Strong expertise in statistical modeling, loss forecasting methodologies, and sophisticated risk data …
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