Design, develop, validate and review statistical and stochastic models for risk prediction across various risk categories, with a focus on creating high-performance analytical solutions for financial institutions.
Requirements include a completed degree in Mathematics, Physics, Informatics, or Economics with a strong quantitative background, preferably with specialization in financial mathematics, stochastic analysis, statistics, or controlling. Candidates should have analytical skills, attention to detail, teamwork capabilities, and strong communication skills in English.
EY offers an innovative work environment with opportunities for professional growth, flexible work models, international assignments, continuous training, and comprehensive benefits. The role provides a chance to work in interdisciplinary teams, drive innovation, and help businesses navigate complex financial challenges.
