Credit Manager - Loss Forecasting & Analytics
Mission Lane- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must hold a Bachelor’s degree in Engineering, Computer Science, Statistics, Economics, Finance, or a similar field, with an advanced quantitative degree being preferred. Strong analytical skills and experience with loss forecasting are essential, along with familiarity with CECL reserve models and governance processes.
The Senior Manager, Forecasting Analytics will perform loss forecasting for various credit products, assume ownership of the CECL reserve model, develop and refine forecasting techniques to project delinquency and losses, prepare portfolio review materials for the Credit Committee, and support forecasting of servicing operations activities. They will also deliver analytical support to finance and bank partners, conduct deep dives and stress testing, partner with the Credit Strategy teams to explore innovative risk strategies, review and approve revenue reports, and collaborate with the data team to design data structures for credit risk analytics.
Online platform for credit score improvement
Self Financial helps individuals build or rebuild their credit scores through online services and a mobile app. Their main products are Credit Builder Loans and the Self Credit Card. A Credit Builder Loan is a small loan that is secured in a certificate of deposit (CD), where monthly payments are reported to credit bureaus to help establish a positive credit history. Once the loan is paid off, the borrower can access the funds in the CD, turning payments into savings. The Self Credit Card requires an upfront deposit and also reports monthly payments to credit bureaus. Unlike traditional credit unions, Self Financial operates entirely online, making it accessible to tech-savvy users and those without access to conventional banking. The goal of Self Financial is to help clients improve their credit scores, enabling them to qualify for loans and other financial products while generating revenue through fees associated with their services.