Lead impactful risk management initiatives within a dynamic investment environment. Collaborate with cross-functional teams to optimize portfolio performance and mitigate financial risks effectively. Enhance your expertise in risk modeling and decision-making.
Market Risk Professional
in Financial Services PermanentJob Detail
Job Description
Overview
- Collaborate with risk, investment, and technology teams to optimize risk management processes and enhance portfolio performance.
- Support the Head of Investment Manager Risks in managing market exposure and financial risks of investments.
- Focus on SMA platform and hedge fund investments, ensuring alignment with organizational risk appetite.
- Develop and refine risk estimates, reports, systems, and automation frameworks for improved decision-making.
- Monitor portfolio and manager performance to achieve optimal risk-return tradeoffs.
- Build models, tools, and visuals to support risk and investment decisions effectively.
- Identify and resolve data or model issues impacting decision-making processes.
- Implement scalable solutions using sound coding practices and innovative approaches.
Key Responsibilities & Duties
- Take ownership of risk estimates, reports, systems, and automation frameworks for continuous improvement.
- Monitor portfolio and managers relative to risk appetite and assist in hedge selection.
- Develop models, tools, and visuals to enhance risk and investment decision-making.
- Identify and address data or model issues to ensure accuracy and reliability.
- Collaborate with colleagues and external managers to reduce risks effectively.
- Conduct research and enhance frameworks for market, factor, funding, and liquidity risk estimation.
- Utilize Python or similar programming languages for model development and data analysis.
- Ensure compliance with organizational standards and best practices in risk management.
Job Requirements
- Bachelor’s degree in math, statistics, physics, computer science, engineering, economics, finance, or a related field.
- 3-6 years of experience in a comparable role, preferably at a hedge fund or similar organization.
- Proficiency in Python or similar programming languages for risk modeling and analysis.
- Understanding of financial instruments, portfolio management, and risk concepts such as beta, VaR, and liquidity.
- Experience with RiskMetrics or similar tools is advantageous.
- Strong problem-solving, communication, and collaboration skills with attention to detail.
- Ability to implement scalable solutions and prioritize tasks effectively.
- Knowledge of timeseries analysis, including handling imperfect data and non-stationarity.
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