Your Key Responsibilities
You will work in projects relating to:
- Design, assessment, and benchmarking of financial risk management policies, frameworks, methodologies covering a range of risk domains such as credit risk, market risk, operational risk, liquidity risk, climate risk, and integrated risk topics viz., capital adequacy and stress testing measurement methodologies in financial institutions (FI)
- Emerging risk topics such as model risk or climate risk
- Development of AI/ machine learning use cases in financial risk
- Consistently deliver quality client services, support in designing offerings, managing risks and ensuring key stakeholders are kept informed about progress and expected outcomes
Skills and Attributes for Success
- Strong understanding of regulatory requirements, market standards, and key challenges for aforementioned financial risk domains
- Strong interpersonal and teaming skills
- Effective leadership, project management and teamwork skills
- Strong presentation skills and proficiency in the use of PowerPoint, Word and Excel
To qualify for the role, you must have
- Min 2-3 years or more relevant experience relevant risk management domain, a few years of which in a consulting firm
- Graduate or Post Graduate degree in Economics, Banking and Finance, Computational Finance, Mathematics, Statistics, Physics or equivalent preferred
- Industry related certification is a plus (e.g., FRM, CPA/ CA, CFA, SCR – GARP)
Good to have
- Experience with advanced data analytics solutions and approaches incl. machine learning
- Understanding or experience in following programming languages or tools is a plus: Python, R, MATLAB, SQL, Tableau, SAS, SQL etc.
EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.