Responsibilities
Risk Modelling & Analytics
- Develop and enhance proprietary risk models for portfolio risk measurement, stress testing, and scenario analysis
- Research and implement advanced statistical methods for measuring market, credit, liquidity, and operational risks
- Design and build real-time risk monitoring systems and early warning indicators
- Collaborate with researchers and developers to translate risk models into production-ready risk management systems
- Stay current with academic and industry developments in risk management methodologies, regulatory requirements, and best practices
Risk Management & Oversight
- Ensure effective monitoring and management of real-time portfolio risk exposures across all trading strategies and asset classes
- Develop and implement risk limits, position sizing methodologies, and drawdown controls
- Perform attribution analysis to understand sources of risk and return in trading strategies
- Identify and analyze risk concentrations, correlations, and potential portfolio vulnerabilities
Scenario Analysis & Back-testing
- Design and implement comprehensive back-testing frameworks and validation of risk models and assumptions
- Support the Risk team to develop scenario analysis capabilities for portfolio impact assessment under various market regimes
- Work closely with trading teams to establish appropriate risk parameters and position limits
Collaboration & Leadership
- Partner with technology teams to implement and optimize risk management infrastructure and systems
- Provide risk insights and recommendations to trading teams
- Lead and mentor junior analysts
- Collaborate with risk, compliance and regulatory teams to ensure adherence to risk management standards
What you'll need for this role
Education & Experience
- Advanced degree (e.g., Masters) in a related quantitative field
- 5+ years of experience in quantitative risk management, or related roles in systematic trading
- Proven track record of developing and implementing successful risk management strategies
- Experience managing risk across multiple asset classes with expertise in at least two major markets
- Strong understanding of derivatives pricing, portfolio theory, and statistical risk modelling
Technical Skills
- Expert proficiency in programming languages used in quantitative finance (Python, R, C++, MATLAB, etc.)
- Deep knowledge of risk management practices, risk approaches
- Advanced understanding of statistical methods, time series analysis, and machine learning applications in finance
- Familiarity with high-performance computing, distributed systems, and real-time risk monitoring
Personal Qualities
- Exceptional analytical and quantitative problem-solving abilities
- Strong attention to detail with ability to identify and communicate risks clearly
- Intellectual curiosity and continuous learning mindset
- Strong communication skills for presenting complex risk concepts to diverse audiences
- Resilience and sound judgment under high-pressure market conditions
- Highest standards of integrity and ethical conduct in risk management practices
Number of openings: 1
Job ID: R_15164