Credit One Bank is seeking a statistical modeling professional with a curious and competitive mindset to support the organization’s strategy and goals. This position is a part of the Risk Management department but supports the entire bank. Our modeling professionals are tasked with developing predictive models and optimization techniques for customer targeting, fraud detection, risk assessment, underwriting, credit line increases, as well as complex ad hoc analyses.
The successful candidate will have familiarity with statistical or machine learning predictive techniques such as logistic regression, ARIMA-style models, decision trees, gradient boosting, or other algorithms. They should be familiar with common software tools for statistical analysis, such as SAS, Enterprise Miner, R, Python, or H2O. They should demonstrate the ability to follow their nose to mine insights from large databases and link their analytic conclusions with actionable recommendations for business strategy.
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.