Quantitative Risk Analytics Lead

Summary

Join Earnest as the Loss Forecasting & Performance Analytics Manager and lead the development and maintenance of loss forecasting models across loan portfolios. You will analyze portfolio performance, collaborate with cross-functional teams, and set the technical direction for loss forecasting and analytics. This role requires strong expertise in statistical modeling, loss forecasting methodologies, and data analysis, along with experience in SQL and Python programming. The position offers a competitive salary, remote work flexibility with occasional office visits, and a comprehensive benefits package including health insurance, retirement plan, paid time off, and more. The ideal candidate will possess strong communication skills and a proven ability to manage multiple projects. Earnest is committed to fostering a diverse and inclusive workplace.

Requirements

• 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 analysis
• Experience with BI/reporting tools such as Looker or Tableau
• Proficiency in Microsoft Office (Excel, PowerPoint) or Google Suite (Sheets, Slides)
• Excellent verbal and written communication skills, with the ability to present complex findings clearly to both technical and non-technical audiences
• Demonstrated ability to manage multiple priorities and projects under tight deadlines while mentoring and guiding team members
• Knowledge of consumer lending products, financial modeling, and P&L evaluation
• Willingness to travel to the Oakland office monthly to collaborate with other Earnies

Responsibilities

• Lead the development, maintenance, and monitoring of loss forecasting models across Earnest’s loan portfolios (e.g., Student Loan Refinance, Private Student 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
• 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

Preferred Qualifications

• Experience in Fintech
• Python Expert

Benefits

• Health, Dental, & Vision benefits plus savings plans
• Mac computers + work-from-home stipend to set up your home office
• Monthly internet and phone reimbursement
• Employee Stock Purchase Plan
• Restricted Stock Units (RSUs)
• 401(k) plan to help you save for retirement plus a company match
• Robust tuition reimbursement program
• $1,000 travel perk on each Earnie-versary to anywhere in the world
• Competitive days of annual PTO
• Competitive parental leave