Description
This position is a part of the Risk Management department but supports the entire bank. The Model Development team challenges the status quo through their statistical and machine learning (ML) powered predictive models that cover the entire customer lifecycle including Acquisitions, Underwriting, Fraud, Customer Management, and Collections. As a Risk Modeler, you will be participating End-to-End model development life-cycle for customer acquisition, credit risk and underwriting, adopt applications of ML to enhance next generation solutions, and develop analytical tools to contribute to the strategic direction and financial performance of the organization. The role will be also responsible for developing advanced machine learning frameworks that drive incremental growth in acquisitions. The ideal candidate will have an outstanding track record of successfully implementing machine learning solutions for impactful and dynamic business results.
- Perform complex analyses and modeling that maximizes profits or asset growth, and minimizes credit losses or other risk exposures
-
Serve as an expert consultant to senior management on highly complex issues
-
Manage the deployment of new models and the live testing or pilot programs derived from them
-
Monitor ongoing model performance to ensure stability and efficacy
-
Anticipate issues based on knowledge of business trends, and propose direction and solutions
-
Provide peer review for other analysts within the team
-
Research the impacts of business decisions
-
Partner with technology groups to define business requirements
-
Provide analytic support to ensure the company goals are met
-
Perform other duties as assigned
-
-
Bachelor's Degree in STEM (Science, Technology, Engineering, and Mathematics) or related field.
-
Solid experience in using SAS, Enterprise Miner, R, Python, H2O, or similar and its libraries to derive insights in a business setting
-
Intellectual horsepower with problem solving and analytical skills.
-
Knowledge of financial analysis and profitability drivers.
-
Ability to quickly assimilate and analyze large amounts of information.
Strong financial analytical skills with the ability to read, interpret, and evaluate, financial time-series tracking reports (including vintage analysis).
-
-
2+ years of experience gathering data requirements for statistical, econometric, predictive analytics research that drives market research/consumer analytics product innovation and implementation.
-
2+ years of experience in Financial Services, Credit Card Issuing, and Banking.
-
Exposure in AI tool adoption.
-
Consumer Credit Card industry experience.
Credit One Bank, N.A. is a data-driven financial services company based in Las Vegas. Founded in 1984, Credit One Bank offers a spectrum of credit card products for people in all stages of financial life. Credit One Bank is an equal opportunity employer committed to diversity and inclusion and does not discriminate against any employee or applicant for employment because of age, race, religion, color, disability, sex, sexual orientation, or national origin. Reasonable accommodations can be made for those who require them, including access to job applications and workplace accommodations. Employment at Credit One Bank is based on mutual consent (also known as at-will). This means that employees and the Bank may terminate the employment relationship at any time, with or without cause and with or without notice. Please contact the recruiter for this position to learn more. Credit One Bank does not accept unsolicited resumes from agencies and is not responsible for related fees.
