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Quantitative Analyst – Systematic Macro, Global Asset Manager, London - eFinancialCareers

eFinancialCareersLondon🇬🇧United KingdomPosted 24 Jul 2026

Why This Role Stands Out

This hybrid role offers significant growth potential as you develop sophisticated macro models and integrate innovative datasets within a renowned global asset manager. You'll thrive here if you possess strong quantitative skills and a passion for translating complex data into actionable investment insights, making it an excellent opportunity to enhance your career.

Quick Overview

Seniority
Mid Senior
Employment type
Full Time
Work mode
Hybrid
Location
London, United Kingdom
Posted
4 weeks ago

Job Description


Responsibilities

  • Develop and calibrate quantitative macro models spanning rates, FX and commodities
  • Identify, test and incorporate new signals and alternative datasets into systematic frameworks
  • Track model-driven trade ideas and circulate insights promptly to investment stakeholders
  • Produce rigorous research notes and presentations on standalone projects and thematic macro views
  • Design, extend and support the team’s research infrastructure and shared codebase
  • Enhance dissemination and visualisation of model outputs and performance
  • Enforce sound engineering standards: version control, documentation and testing
  • Present findings and model behaviour to Portfolio Managers, Strategists and Trading
  • Collaborate across assets and time zones; help position the quant function internally and externally
  • Participate in selected client interactions and research briefings

Requirements

  • Degree (BSc/MSc) in a quantitative discipline with strong statistics, econometrics and mathematical methods
  • Hands-on experience building systematic investment models in macro or multi-asset settings
  • Advanced Python (pandas, NumPy); SQL and Git exposure advantageous
  • Proficient with Excel; familiarity with Bloomberg or similar market data terminals preferred
  • Skilled at handling and interrogating large-scale financial datasets
  • CFA or comparable market-facing qualification is a plus
  • Clear communicator able to translate quantitative concepts to varied audiences
  • Team-focused, effective working with investment and technology counterparts

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