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Quantitative Researcher- Cross-Asset Relative Value

Job in City Of London, Central London, Greater London, England, UK
Listing for: McGregor Boyall
Full Time position
Listed on 2026-01-09
Job specializations:
  • Finance & Banking
    Data Scientist
Job Description & How to Apply Below
Position: Quantitative Researcher-  Cross-Asset Relative Value
Location: City Of London

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 does not discriminate on any grounds.

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