CONSULTANT QUANTITATIVE ADVISORY SERVICES - FINANCIAL SERVICES RISK MANAGEMENT

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
The opportunity - What future are you building towards?
EY is currently seeking highly motivated individuals to be part of our Quantitative Advisory Services (QAS) team. You will use analytics and quantitative techniques to help our clients solve Financial Services Risk Management issues facing the financial services sector, drive business efficiencies, and manage risks in our client’s portfolios. Our team is engaged in high exposure quantitative service projects related to the development and validation of financial models used for managing market and credit risks and advanced analytics.
Our team - Do great minds always think alike?
The QAS team focuses on applying quantitative techniques within the financial risk management of financial institutions. In addition to the traditional quantitative work in the credit and market risk areas, the QAS team focuses on new topics such as Generative AI and integrating ESG into financial risk models. Our services include a broad spectrum of solutions, from developing a financial risk model to supporting clients in major risk management transformations.

• Performing detailed data analysis to help clients solve business problems and complex issues in the financial services industry, including model development, documentation, testing, validation, benchmarking, and implementation.
• Supporting the development of mathematical/statistical models used to develop analytical tools or financial instruments.
• Applying quantitative techniques (including AI and ML) to help institutions develop and validate risk modeling methodologies.
• Reaching conclusions, documenting results, and suggesting ideas for efficiencies