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Quantitative Researcher- Cross-Asset Relative Value

at McGregor Boyall

Mid LevelNo visa sponsorshipPython

Posted a day ago

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Compensation: Up to £250,000 GBP
City: New York City, London
Country: United States, United Kingdom

Join a buy-side investment platform as a Quantitative Researcher supporting complex, multi-asset relative value strategies with a credit bias. The role is desk-facing and focuses on practical, scalable research—translating trade ideas and market intuition into robust quantitative frameworks and reusable research libraries. You will collaborate closely with senior investment professionals, explore new datasets and signals, stress-test ideas, and improve research workflows to support both discretionary and systematic approaches.

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Quantitative Researcher- Cross-Asset Relative Value

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98498_1767603064 Posted: 05/01/2026

Up to £250000 per annum
City of London, London
Permanent

Quantitative Researcher- Cross-Asset Relative Value

Location: New York or London
Industry: Hedge Funds
Travel: Hybrid

Overview:

A well-established buy-side investment platform is looking to add a Quantitative Researcher to a desk-facing environment supporting complex, multi-asset strategies with a strong credit bias.

The role is intentionally flexible on level and suited to someone who enjoys working close to investment decision-making - translating market intuition and trade ideas into robust, scalable quantitative frameworks. The emphasis is on practical research, not academic isolation.

Responsibilities:

Act as a quantitative partner to senior investment professionals, helping turn ideas into actionable analytics
Enhance and evolve internal research frameworks used to analyse relative value, risk, and pricing across complex instruments
Build reusable research components and libraries that support both discretionary and systematic approaches
Explore new datasets, methodologies, and signals to improve trade selection and portfolio construction
Stress-test ideas through structured analysis rather than one-off experiments
Improve the reliability, speed, and usability of existing research workflows
Contribute to longer-term projects focused on scaling quantitative insight across strategies
Share findings clearly, whether through code, written summaries, or discussion with stakeholders

Experience:

Strong programming capability in Python; additional low-level or performance-focused experience welcomed
Background in a quantitative research, trading, or analytics role within a professional investment environment
Advanced academic training in a numerate discipline
Familiarity with fixed income or credit-style instruments helpful, but depth in one area valued over broad exposure
Comfortable working with ambiguity and evolving priorities

Compensation:

Highly competitive base salary with performance-linked bonus and comprehensive benefits.

McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Ashley Gadd

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