Job Summary:
As an Associate in Exposure Management & Market Surveillance, you will play a vital role in supporting our financial risk strategy and ensuring robust market surveillance. This position offers an excellent opportunity to apply your technical skills in a dynamic and evolving environment.
Job Responsibilities:
- Conduct Stress Testing & Modeling: Contribute to the development and execution of stress testing deliverables. Assist in building and enhancing modeling capabilities, including Value at Risk (VaR) and Expected Tail Loss calculations.
- Prepare Data Analysis & Reporting: Utilize Python, SQL, and data visualization tools to support data research projects and enhance reporting capabilities. Assist in designing new architectures to unlock information and drive operational efficiencies.
- Assist with Market Monitoring: Assist in monitoring intraday market volatility across sectors and asset classes. Support the production of risk analytics and reporting to analyze the impact of market events on credit and market risk exposures.
- Calibrate Margin Requirements: Support the daily calibration of margin requirements and collaborate with senior team members to ensure they are adequately set. Gain an understanding of regulatory requirements related to margin lending and options trading.
- Support Risk Management: Collaborate with risk management teams to review models, methodologies, and assumptions for risk modeling activities. Support the development of control frameworks and documentation for risk processes.
- Assist with Client Exposure Monitoring: Assist in monitoring client exposure at the account level and support proactive client contact for accounts with high potential exposure.
Required qualifications, capabilities, and skills:
- Undergraduate degree in finance, economics, mathematics, computer science, or a related field.
- A minimum of 3 + years of experience in financial services, risk management, or a related field.
- Strong technical skills, with practical knowledge of Python, SQL, and data analytics packages.
- Experience with data visualization tools such as Tableau or similar.
- Basic understanding of financial products and market dynamics.
- Excellent quantitative and qualitative analytical skills.
- Strong communication and interpersonal skills.
Preferred Qualifications, capabilities and skills:
- Graduate degree in finance, economics, mathematics, computer science, or a related field.
- Familiarity with Bloomberg, FactSet, or similar financial data platforms.
- Series 7 Licensing or willingness to obtain.
- Exposure to financial mathematics, quantitative risk methodologies, or data science is a plus.