What are the responsibilities and job description for the Volatility Risk Manager position at Paragon Alpha - Hedge Fund Talent Business?
Overview:
A leading investment firm is looking to hire a Volatility Risk Manager to support its derivatives and macro-focused investment activities. This role sits at the intersection of quantitative analytics and front-office risk-taking, working closely with portfolio managers to assess and manage risks across volatility strategies. The successful candidate will play a key role in enhancing the firm’s risk infrastructure while contributing directly to investment decision-making.
Key Responsibilities:
- Investment Partnership: Work closely with portfolio managers, researchers, and central risk teams to challenge assumptions, refine portfolio construction, and ensure risk frameworks are embedded into the investment process.
- Portfolio Engagement: Evaluate current positioning, identify emerging risks and how it affects the firm's portfolio.
- Investment Risk Analysis: Interpret and contextualize PnL drivers and risk changes, providing clear explanations of market moves and their impact on volatility books across asset classes.
- Risk Methodology: Develop and implement risk metrics tailored to shorter-term systematic strategies; build and maintain monitoring tools for portfolio managers
- Risk Measurement: Produce detailed and forward-looking risk reports that provide a holistic view of exposures across volatility strategies. Ensure reporting captures sensitivities across key dimensions such as vega, gamma, skew, and term structure.
- Stakeholder Engagement: Work across risk, technology, and investment teams to ensure consistency in risk methodologies and alignment with broader firm objectives.
Requirements:
- Extensive experience in a risk management position within a Hedge Fund or Asset Manager.
- Strong understanding of equity derivatives and volatility products (e.g., options, variance swaps, structured products), with exposure to FX or rates volatility considered beneficial.
- Strong experience partnering with Portfolio Managers/Investment Professionals challenging assumptions and engaging in conversation around portfolio construction.
- Proficiency in programming (e.g., Python or similar), with the ability to build analytical tools and manipulate large datasets