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Quantitative Analyst – Systematic Macro, Global Asset Manager

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Logansinclair
Full Time position
Listed on 2026-09-01
Job specializations:
  • Finance & Banking
    Financial Analyst, Risk Manager/Analyst, Financial Advisor / Consultant, Trading - Equity / Derivatives / Quantitative
Salary/Wage Range or Industry Benchmark: 70000 - 120000 GBP Yearly GBP 70000.00 120000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

Quantitative Analyst – Systematic Macro, Global Asset Manager

Location London

Compensation Competitive

Description

Our client is a global asset manager with a systematic macro platform across rates, FX and commodities. They seek a Quantitative Analyst to drive alpha research, model innovation and research infrastructure, blending signal discovery, model development and collaboration with investment teams.

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, Num Py); 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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