Primary responsibilities include leading smaller client engagements in financial risk management, demonstrating deep technical capabilities in financial products, understanding market trends, monitoring project progress, managing stakeholder communications, and mentoring junior consultants within the organization.
Required experience includes a strong quantitative background with an undergraduate or master's degree in Computational Finance, Mathematics, Engineering, Statistics, or Physics, with 2-6 years of relevant experience. Candidates must have expertise in statistical techniques, derivative pricing, risk management modeling, mathematical concepts like stochastic calculus, and proficiency in programming languages such as Python, Java, or C++.
EY offers a dynamic global delivery network with opportunities for continuous learning, professional development, and a diverse, inclusive work culture. The role provides exposure to well-known financial brands, collaborative projects across different business disciplines, and the chance to make a meaningful impact in the financial services sector with competitive compensation and transformative leadership opportunities.
