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Role Description

This role involves leading the transition from a legacy servicing cost model to a scalable, AI-integrated architecture.

• Own the existing servicing cost attribution model end-to-end: master its inputs, logic, and business impact, then architect and deliver an AI-integrated replacement.
• Design, develop, and maintain forecasting models using statistical techniques such as time series, regression, and machine learning to support operational contact forecasting, headcount planning, license forecasting, and budget planning.
• Partner with internal stakeholders to frame planning and forecasting problems, develop supporting metrics and diagnostics, and enable high-quality decision-making.
• Highlight opportunities for productivity and efficiency improvements through data insights from a budget and financial performance perspective.
• Present analytical recommendations to leadership, drive timely decisions, and ensure clear and concise communication with cross-functional stakeholders.
• Partner with operational planning and other analytical teams to understand the business context around headcount and workforce scheduling, and obtain the data needed to generate accurate forecasts.
• Maintain a strong understanding of our evolving business and ever-changing technical environment.

Qualifications

• Bachelor’s, Master’s, or PhD in a quantitative field (e.g., statistics, industrial engineering, operations research) and 5+ years solving forecasting, planning, or related quantitative problems.
• Strong proficiency in SQL and Python or R, and hands-on experience with a modern cloud-native data platform (e.g., Databricks, Snowflake, BigQuery, or equivalent).
• Experience building optimization models using linear programming techniques (e.g., CPLEX, Gurobi) is a plus.
• Strong experience developing and validating statistical forecasting models, with disciplined approaches to performance measurement, backtesting, and robust error tracking.
• Proven ability to independently structure ambiguous problems and select the appropriate analytical approach without predefined direction.
• Clear, persuasive communicator with strong stakeholder management skills and the ability to influence senior leaders across technical and non-technical audiences.
• Strong bias toward automation: treat repetitive manual work as avoidable drudgery and build durable, automated systems, delegating to machines what they can do more reliably and efficiently than humans.
• High standards of humility, honesty, and ownership: you take responsibility for outcomes, invest in your own growth, and actively develop others.

Requirements

• Pay Grade - K
• Equity Grade - 6
• USA base pay range (CA, WA, NY, NJ, CT) per year: $140,000 - $190,000
• USA base pay range (all other U.S. states) per year: $124,000 - $174,000

Benefits

• Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents.
• Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses.
• Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge.
• ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount.