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Posted 05 August, 2026

Macro Risk Manager

Paragon Alpha - Hedge Fund Talent Business
London, ENG, GB Full Time

Job Description

Overview:

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A leading investment firm is looking to hire a Macro Risk Manager to support its 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 macro investment strategies. The successful candidate will play a key role in enhancing the firm’s risk infrastructure while contributing directly to investment decision-making.

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Key Responsibilities:

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  • 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.
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  • Portfolio Engagement: Evaluate current positioning, identify emerging risks and how it affects the firm's portfolio.
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  • Investment Risk Analysis: Interpret and contextualize PnL drivers and risk changes, providing clear explanations of market moves and their impact on macro books across asset classes.
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  • Risk Methodology: Develop and implement risk metrics tailored to shorter-term systematic strategies; build and maintain monitoring tools for portfolio managers
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  • 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.
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  • Stakeholder Engagement: Work across risk, technology, and investment teams to ensure consistency in risk methodologies and alignment with broader firm objectives.
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Requirements:

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  • Extensive experience in a risk management position within a Hedge Fund or Asset Manager.
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  • Strong understanding of macro products (e.g., Rates & FX)
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  • Strong experience partnering with Portfolio Managers/Investment Professionals challenging assumptions and engaging in conversation around portfolio construction.
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  • Proficiency in programming (e.g., Python or similar), with the ability to build analytical tools and manipulate large datasets
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