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Systematic Researcher – Global Hedge Fund (4–6 Years’ Experience)/ London £ High

Eka FinanceLondon🇬🇧United KingdomPosted 26 Jul 2026

Why This Role Stands Out

This hybrid role offers exceptional career growth and the opportunity to develop cutting-edge skills in systematic strategy research at a globally renowned hedge fund with a highly collaborative culture. You'll thrive here if you possess a strong quantitative background, a passion for uncovering alpha through data and machine learning, and a desire to make a significant impact within a supportive and intellectually stimulating environment.

Quick Overview

Work Type
Hybrid
Schedule
Full Time
Level
Mid Senior

Job Description

What You’ll Do:

  1. Conduct end-to-end research on systematic strategies across liquid asset classes (equities, futures, FX, or rates).
  2. Leverage large datasets, machine learning techniques, and advanced statistical modelling to uncover persistent sources of alpha.
  3. Collaborate closely with other researchers, portfolio managers, and technologists in a highly integrative research culture.
  4. Iterate and improve signal construction, portfolio optimization, and risk models with access to world-class infrastructure and tooling.

What We’re Looking For:

  1. 4–6 years of systematic research experience at a top collaborative hedge fund (e.g., Two Sigma, AQR, PDT, etc.).
  2. Deep expertise in alpha signal research, with a proven track record of contributions to production strategies.
  3. Strong programming skills in Python (or similar), and comfort working with large, noisy datasets.
  4. A highly analytical mindset with fluency in statistics, probability, and time-series analysis.
  5. Advanced degree (Master’s or PhD) in a quantitative discipline preferred, but not required.

Why This Role:

  1. Join a high-conviction, low-politics team that values idea meritocracy and intellectual honesty .
  2. Work alongside researchers and PMs who are genuinely collaborative — not siloed or secretive.
  3. Access deep resources and institutional-grade infrastructure to bring ideas to life quickly and at scale.
  4. Significant upside and career growth for researchers who drive real impact.

Skills

Machine Learning
Python

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