Primary responsibilities include developing and implementing advanced statistical and machine learning models to evaluate credit card risk, conducting comprehensive data analysis, creating predictive algorithms, and generating actionable insights for credit risk management strategies.
The ideal candidate will possess a strong background in data science, statistical modeling, and machine learning, with expertise in programming languages like Python or R, advanced knowledge of statistical techniques, and experience in financial risk assessment. A relevant advanced degree in data science, statistics, or a related quantitative field is typically required.
EY offers a competitive compensation package, opportunities for professional development, exposure to complex global financial challenges, and the chance to work with cutting-edge analytical technologies in a dynamic, innovative environment that values technical expertise and strategic thinking.
