Risk Manager
3 weeks ago
The Role:
- Provide strategic risk management, actively monitoring the firm’s risk exposuresand present key findings to Senior Management, driving strategic decision-making.
- Collaborate closely with Portfolio Managers and investment analysts, providingquantitative support tailored to trading theses and calibrating PM-specific risk guidelines based on deep understanding of each PM’s investment strategy.
- Develop VaR models and stress analysis to comprehensively evaluate portfolio risk.
- Support the risk team by designing and automating reports, ensuring seamless daily, weekly, and monthly reporting.
- Maintain and update risk data in proprietary databases and software, ensuring accuracy and accessibility.
- Lead research efforts to develop innovative risk management techniques, analytics, and tools, driving continuous improvement and competitive advantage.
- Interface with internal development team to enhance risk reporting metrics, develop intuitive risk visualization tools and efficient workflow management.
- Conduct ad-hoc portfolio backtesting and scenario simulations to inform decision-making and strategy development.
- Assist in developing investment strategies through advanced statistical analysis and modeling techniques.
- Contribute analysis and tools to the broader risk team, fostering a culture of continuous learning and improvement.
- Ensure compliance with risk and drawdown limits and provide support during onboarding of new Portfolio Managers.
The Candidate:
- Minimum of 5+ years of experience in roles such as risk modeler, risk manager, desk strat, quant strategist, or quant researcher.
- Direct experience with VaR modeling and proficiency in common risk models such as RiskMetrics or similar risk platforms.
- Strong proficiency in econometrics/statistics and comprehensive familiarity with fixed income risk analytics and concepts (e.g., PCA).
- Ability to enhance VaR modeling for new security classes and adapt to evolvingmarket conditions.
- Success in the role necessitates comfort and direct experience with concepts in related markets, particularly within the fixed income and credit.
- Understanding of options and derivative products is essential.
- Proficiency in coding and building prototype risk models and reports in Python, including econometric, statistical, factor models, option pricers, and data analysis tools is a plus.
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