Risk Modeler I - Data Scientist

DescriptionPosition Summary 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 Python, PySpark, SAS, SQL. And 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. Summary of Essential Job Functions • Performs complex analyses and modeling that maximizes profits or asset growth, and minimizes credit losses or other risk exposures. • Serves as an expert consultant to senior management on highly complex issues. • Manages the deployment of new models and the live testing or pilot programs derived from them. • Monitors ongoing model performance to ensure stability and efficacy. • Anticipates issues based on knowledge of business trends, and proposes direction and solutions. • Provides peer review for other analysts within the team. • Researches the impacts of business decisions. • Partners with technology groups to define business requirements. • Provides analytic support to ensure the company goals are met. • Performs other duties as assigned.Position Requirements • Master's degree (or PhD) in statistics, economics, mathematics or finance. • Excellent statistical and quantitative skills. • Excellent communication skills, both written and oral. • Excellent analytic and conceptual problem-solving skills. • Advanced capability with at least one of the following: Python, PySpark, SAS, SQL. • Well-developed organizational and prioritization skills, with the ability to manage multiple and sometimes competing priorities. • Flexibility and ability to thrive in a fast-paced, rapidly changing environment. • Proficiency with Microsoft Office.Preferred • Experience with machine learning algorithms. • 2+ years risk management or equivalent industry experience. • Knowledge of financial analysis, credit reporting and profitability drivers. 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.