Risk Manager - New York, United States - eFinancialCareers

Description

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.