Quantitative Risk Manager

The Role

An innovative and growing market maker is seeking a highly experienced and strategic Vice President of Risk to join the Risk Committee. The ideal candidate will possess deep expertise in Value at Risk (VaR) and financial modelling using Python, coupled with a solid background in trading. As a member of the Risk Committee your responsibilities will span the market making and brokerage businesses

Responsibilities

Risk Identification & Assessment

• Identify, evaluate, and monitor all types of risks (market, credit, operational, liquidity, etc.) that could impact the company.
• Implement risk assessment methodologies, including VaR, stress testing, and scenario analysis.
• Implement stringent risk management, actively assessing the performance of quantitative systematic strategies against expectations independently and assure adherence to the risk framework.
• Enhancing management’s understanding of investment performance by developing intuitive and efficient frameworks for performance attribution and educating all internal constituencies on those frameworks.
• Utilize Python to create and maintain advanced financial models to assess ongoing risks and performance.
• Conduct in-depth analysis and reporting on risk metrics, trends, and potential risk events.

Compliance and Reporting

• Ensure compliance with regulatory requirements and internal policies.
• Prepare and present quarterly risk reports to the executive team.

Stakeholder Collaboration

• Work closely with other departments (e.g., trading, technology, finance) to integrate risk management practices into business operations.

Continuous Improvement

• Stay abreast of industry trends, regulatory changes, and best practices in risk management.

Lead initiatives to enhance the company’s risk management capabilities and infrastructure.

Essential Requirements

• Postgraduate degree required in a STEM subject
• Minimum of 10 years’ experience in risk management, with significant exposure to trading and quantitative systematic strategies.
• Proven expertise in VaR modeling and financial analysis using Python
• Proficiency in financial modelling, sector analysis, business structure analysis, and conducting business cycle research.
• Demonstratable expertise in industry sector and/or regions of focus, as well as risk management techniques for equity portfolios
• Experience with mid/low frequency trading strategies within a quantitative trading platform is essential
• Excellent analytical, problem-solving, and decision-making abilities.

Preferred Requirements

• Risk management experience within a Brokerage business
• Experience in machine learning would be beneficial
• Experience with high frequency trading strategies preferred