EY is seeking a recent graduate or professional to join their Credit Risk Management team. The role involves developing and validating advanced statistical models for large banks, focusing on credit risk estimation and management. Ideal candidates have a background in mathematics, statistics, or IT, with strong data analysis and communication skills.
Primary responsibilities include developing and implementing advanced statistical models for financial institutions, using techniques like logistic regression and classification trees to analyze customer needs and manage risk. The role involves working closely with bank risk teams and management to create and validate complex financial models.
Required skills include a recent university degree in mathematics, statistics, or IT, strong English language skills, proficiency in statistical and data analysis tools like R, Python, SAS, or SQL. Candidates should be comfortable with mathematical concepts and capable of independent problem-solving in a collaborative team environment.
EY offers a competitive starting salary with potential bonuses, a comprehensive benefits package including 6 weeks of vacation, professional development opportunities, language courses, technology benefits like an iPhone, health consultations, and a supportive team culture with opportunities for rapid career progression.
