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Quantitative Product Strategist | Tier 1 Multi-Strat Trading firm Be

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Mondrian Alpha
Full Time position
Listed on 2026-02-03
Job specializations:
  • IT/Tech
    Data Scientist, Data Analyst
  • Finance & Banking
    Data Scientist
Job Description & How to Apply Below
Position: Quantitative Product Strategist | Tier 1 Multi-Strat Trading firm | Excellent Compensation + Be[...]
Location: Greater London

A Tier 1 technology-led multi-strategy trading firm is appointing a Quantitative Product Strategist into a highly visible, centrally positioned front-office role. This is a discreet search, driven by the continued expansion of the firm’s quantitative analytics platforms across asset classes and trading styles.

The role sits within a central quantitative analytics group that partners closely with trading, quantitative modelling, and engineering teams across the firm. The mandate is not to own a trading book or build models in isolation, but to ensure the right quantitative ideas are translated into trusted, usable production systems.

This is a genuinely hybrid role, designed for someone who is comfortable operating at the intersection of markets, models, and systems, and who enjoys shaping problems under ambiguity rather than working from fully specified requirements.

You will work closely with traders, portfolio managers, and quantitative teams to frame analytical needs, while partnering with engineering groups responsible for live trading, risk, and P&L platforms to ensure correct implementation and prioritisation.

This is emphatically not a desk quant, quant research, or pure software engineering role. The value-add is judgement, clarity, and product ownership — not depth in a single vertical or volume of code written.

The scope includes ownership and evolution of several front-office quantitative platforms, including:

  • Risk and P&L analytics used by discretionary trading teams
  • User-facing trading and analytics tools
  • Core quantitative libraries and their integration into live systems
  • New AI-enabled analytics and tooling being rolled out across the firm

The role requires constant context switching and close engagement with multiple stakeholders, often under time pressure. Success is defined by correctness, trust, and adoption — not by theoretical sophistication alone.

The team operates as a small, senior, low-ego group with significant influence over what gets built and when. While some prototyping or analysis may be required, heavy production development and deep original model research are explicitly not the focus.

Requirements

  • 3+ years’ experience in a front-office or front-office-adjacent quantitative, analytical, or trading-facing role
  • Strong quantitative foundation (e.g. quantitative finance, financial engineering, applied mathematics, physics or similar), with credibility in front of traders and quants
  • Early-career front-office or front-office-adjacent experience in a quantitative, analytical, or trading-facing role
  • Technical fluency with production analytics and data (Python, C++ or similar; SQL and time-series experience a plus)
  • Familiarity with market data, pricing, risk, and P&L concepts in live trading environments
  • Experience working closely with engineering teams to deliver or evolve live systems
  • Ability to operate across business, analytics, and technology rather than within a single silo
  • Strong communication skills, with the ability to translate between traders, quants, and engineers
  • Comfort operating under ambiguity, frequent context switching, and time pressure

This search is being conducted discreetly. Further detail will be shared during an initial confidential discussion.

To apply, either respond to this advert or send your CV directly to gala.

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