Job Description

Description

Position Summary

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 the Risk Analyst III of Decision Sciences, you will lead development and implementation of models 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.

Summary Essential Job Functions:

• Lead the development of advanced analytic solutions and strategies through all aspects of the model development and implementation lifecycle.
• Undertake initiatives to deploy statistical models and ML algorithms to enhance existing models and/or introduce new processes.
• Manage the full life cycle of assigned reports including requirements gathering, development, testing, documentation, and production maintenance.
• Automate data flows for reporting and scoring processes.
• Anticipate issues based on knowledge of business trends and proposes direction and solutions.
• Perform other duties as assigned.

Position Requirements:

• Bachelor\'s degree in a quantitative field such as statistics, mathematics, econometrics, engineering, computer science and equivalent industry experience.
• 4+ years of experience in development and implementation of predictive models, ML solutions and data science; preferably within a financial services industry.
• Strong working knowledge of traditional algorithms such as Regression / Logistic Regression, Segmentation, Clustering and ML algorithms for predictive analytics such as Gradient Boosting, Random Forest, KNN etc.
• Hands-on experience with statistical tools such as SAS, Python, SQL.
• Experience managing and delivering a wide variety of analytic solutions to stakeholders.
• Self-starter who is highly motivated, collaborative, and innovative.

Preferred:

• Graduate degree
• Deep understanding of statistical techniques and ML algorithms such as boosting, bagging, stacking etc.
• Knowledge of credit card industry and key drivers of its revenue and losses.

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.