EY is seeking a data-driven professional to join their Credit Risk Management team. The role involves developing and validating advanced statistical models for major banks, working with credit risk assessment, and implementing sophisticated analytical techniques. Ideal candidates are recent graduates with strong statistical and mathematical skills, proficiency in programming languages, and a passion for data analysis.
Primary responsibilities include developing and validating statistical models for credit risk estimation, implementing advanced analytical methods such as logistic regression and classification trees, and working closely with banking institutions to solve complex financial risk challenges.
Required experience includes a recent university degree in mathematics, statistics, or IT, strong English language skills, proficiency in data analysis tools like R, Python, SAS, or SQL, and the ability to independently develop innovative solutions for client needs.
The role offers competitive compensation with potential bonuses, extensive professional development opportunities, 6 weeks of vacation, comprehensive benefits including healthcare, language courses, iPhone for personal use, team-building activities, and a clear career progression path with potential promotion to Senior level within three years.
