Sr. Credit Risk Analyst, Portfolios

Be a part of a team comprised of credit risk professionals tasked with the identification of revenue opps & risk trends by monitoring the performance of our existing portfolios, growth opps, & market trends. We develop & implement strategies for credit line increases, authorizations, collections, fraud prevention, retention, & the sale of revenue based products.

In the role of Sr. Credit Risk Analyst, you'll be primarily responsible for supporting the Bank’s Multiple Account (MAP) program. This position will produce effective reporting as well as develop & leverage effective MIS to evaluate the performance of the MAP program & make data-driven recommendations regarding potential strategy changes for the program.

The position reports directly to the Vice President responsible for Portfolio Risk Management.

Summary of Essential Job Functions

Previous financial services experience or credit card industry experience is preferred. Bachelor's degree in a quantitative area such as finance, economics, mathematics, data science, computer science or statistics is required; Master's degree is a plus

Financial analytical skills with the ability to read, interpret, & evaluate, financial time-series tracking reports (including vintage analysis).

Fundamental knowledge of credit scoring, credit underwriting, & credit risk management.

Technical competencies using SAS Enterprise Guide & Miner &/or SQL, Excel & Tableau are desired. Effective data mining skills & the ability to explain changing data dynamics

Position Requirements

Bachelor’s Degree in Economics, Finance, Business, Math or related field.

3+ years analytical experience in Banking, Finance, or Gaming.

Experience in digital markets & online acquisitions.

Intellectual horsepower with problem solving & analytical skills.

Strong communication skills & political savvy.

Knowledge of financial analysis & profitability drivers.

Self-starter, who can work independently with a high degree of organization on several projects at one time.

Sufficient self-confidence & ability to propose new ideas/solutions.

Ability to quickly assimilate & analyze large amounts of information.

Must be proficient in financial modeling procedures

Strong knowledge of Microsoft tool suite (Excel, Word, PowerPoint, Visio).


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