Senior Lead Risk Analytics Consultant-Card Financial Grounding Forecasting

• Produce recurring card origination Baseline Financial Grounding updates
• Integrate channel and segment level valuations with the latest new account forecast
• Produce transparent forecast v. actual reporting to senior management
• Develop and Maintain Python Financial aggregate model and key inputs.
• Research forecasting discrepancies and validating forecast inputs.

7+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Experience working with credit card data and analytics, with an understanding of account‑level structures and key business drivers
• Deep understanding of credit card P&L drivers such as acquisition costs, interchange, revolve behavior, loss rates, and funding costs
• Strong background in statistics, economics, or financial valuation with ability to apply both qualitative and quantitative methodologies
• Strong Python experience supporting financial or forecasting models, including updating assumptions and maintaining model components
• Proficiency in SQL and SAS for extracting data, validating inputs, and supporting reconciliation work
• Experience working with valuation frameworks, P&L builds, or new account profitability analysis
• Ability to combine multiple financial inputs (account plans, valuation outputs, and forecast assumptions) into a cohesive financial narrative
• Experience performing forecast‑vs‑actual analysis, including evaluating deltas and identifying root causes
• Strong analytical skills with the ability to pull data, draw insights, and develop recommendations that inform decision‑making
• Strong storytelling and presentation skills, with the ability to build insight‑driven presentations and translate complex data into compelling narratives that influence senior leadership
• Bachelor’s or Master’s degree in a quantitative or technical field