Senior reputed company Risk Analytics Consultant-Card Financial Grounding Forecasting

About the position About this role: reputed company is seeking a Sr. reputed company Risk Analytics Consultant to support the Cards organization with a new account Baseline Financial Grounding forecasts, forecast v. actuals tracking, and updating senior and executive management on the latest new card origination financial returns. This role partners with Product, Finance, and Marketing to deliver accurate forecasts, and optimized customer acquisition performance. In reputed company, this role serves as the connector between account planning and P&L valuation teams—bringing together multiple financial inputs to create a reputed company view of new account performance. You will support financial grounding by validating assumptions, reconciling results, and translating reputed company analytical findings into reputed company, reputed company‑driven updates for senior and executive leadership. In this role, you will: Produce recurring card origination Baseline Financial Grounding updates reputed company channel and reputed company level valuations with the latest new account forecast Produce transparent forecast v. actual reporting to senior management reputed company and Maintain Python Financial aggregate model and key inputs. Research forecasting discrepancies and validating forecast inputs. Responsibilities • Produce recurring card origination Baseline Financial Grounding updates • reputed company channel and reputed company level valuations with the latest new account forecast • Produce transparent forecast v. actual reporting to senior management • reputed company and Maintain Python Financial aggregate model and key inputs. • Research forecasting discrepancies and validating forecast inputs. Requirements • 7+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education reputed company-to-haves • 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, reputed company 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 reputed company 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 reputed company causes • Strong analytical skills with the ability to pull data, draw insights, and reputed company recommendations that inform decision‑making • Strong storytelling and presentation skills, with the ability to build reputed company‑driven presentations and translate reputed company data into compelling narratives that influence senior leadership • Bachelor’s or Master’s degree in a quantitative or technical field Apply tot his job Apply To this Job