DESCRIPTION:

Duties: Conduct analysis and design credit risk strategies across line of business. Deliver recommendations for multiple origination risk strategies across all segments of the portfolio. Utilize gradient boosting machine learning techniques to evaluate the credit performance and identify key attributes that predict elevated credit risk. Create and maintain tableau reporting to monitor delinquencies and loss trends. Regularly interact and communicate with outside vendors and cross-functional partners, including business leadership, Finance, Legal and Compliance, and functional partners within Risk team. Work both independently and collaboratively to complete analytical tasks starting with problem identification, analysis of large and complex data, and formulation of concise conclusions with actionable recommendations. Work collaboratively with cross-functional partners to understand and address key business challenges. Monitor delinquencies and loss trends to ensure stable and consistent portfolio performance. Leverage champion/challenger capabilities to develop and maintain credit strategies. Leverage latest tools and capabilities to identify loss trends and make changes to the credit strategy. Conduct ad hoc analytics and contribute to various projects representing risk management.

QUALIFICATIONS:

Minimum education and experience required: Master’s degree in Statistics, Mathematics, Econometrics, Operations Research, or related quantitative field of study plus 2 years of experience in the job offered or as Strategic Analytics, Quantitative Analyst, Actuarial Analyst, Statistician, or related occupation. The employer will alternatively accept a Bachelor’s degree in Statistics, Mathematics, Econometrics, Operations Research, or related quantitative field of study plus 5 years of experience in the job offered or as Strategic Analytics, Quantitative Analyst, Actuarial Analyst, Statistician, or related occupation.

Skills Required: Requires experience in the following: data manipulation structuring using SAS and Python; query optimization using SAS and Python; designing and developing interactive Excel reports and PowerPoint presentations with advanced functionalities including VLOOKUP, INDEX and MATCH, and PivotTables; developing and maintaining interactive dashboards using Tableau, including visualization and ETL automation; designing and implementing test-and-lean risk strategies with data attributes utilizing applied statistical simulation and A/B testing; statistical analysis using machine learning methods like logistic regression, multivariate regression, and classification techniques; creating XGBoost models to develop loss mitigation strategies using Python; translating quantitative information into actionable insights.

Job Location: 8181 Communications Pkwy, Plano, TX 75024. Telecommuting permitted up to 40% of the week.