Description:
EY’s Financial Services Risk Management (FSRM) practice provides risk management support to banks, insurers, and asset managers. Our team includes individuals who have industry, client, and product knowledge as well as quantitative, regulatory, project management and technology professionals. We are seeking agile individuals to join our team. Along with our team, you'll work together to coordinate the delivery of risk management, regulatory and business performance services to a variety of clients, including commercial banks, investment banks, broker-dealers, asset managers, insurance and energy trading companies, and other organizations.
To qualify for the role, you must have
- Excellent academic background, including a Bachelor and a Master’s degree in Economics, Finance, Risk Management, Statistics, Mathematics, Econometrics, Engineering, Operational Research, or other related field. Ph.D. and professional qualifications (e.g., PRM, CFA etc.) will be considered an asset
- Skills in quantitative methods of finance, econometrics and/or statistics.
- Strong analytical, problem solving and interpersonal skills
- Ability to interact with teams at all hierarchical levels and work under tight deadlines
- Strong attention to detail with a logical and methodical approach
- Excellent business acumen
- Willingness to learn and continuously expand technical and business skills.
- Strong communication, presentation and writing skills in English for both technical and business audiences
- Knowledge and/or keen interest in topics such as:
- Banking products and services and/or investment products and the key risks associated with these
- Risk management practices across major risk types such as Credit Risk, Market Risk, Operational Risk, Interest Rate Risk and Liquidity Risk
- Risk-based business planning and performance measurement
- Risk quantification methods for market risk (e.g., Value-at-Risk, Expected Shortfall) credit risk (e.g., PD, LGD and EAD)
- Financial analysis, key performance indicators, and financial accounting.
- Regulatory requirements in the banking industry
- Quantitative & other programming, (e.g., R, Python, SAS, SPSS, SQL) and valuation platforms (e.g., Bloomberg, Reuters, Fin CAD or Super Derivatives)