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Quantitative Strategist | Prime Financing

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Job Description - Quantitative Strategist | Prime Financing

(Desk‑Embedded Automation & Analytics Role | AVP-VP)
Global Markets | London

We're supporting a leading investment bank's Prime Financing business on a desk‑embedded hybrid hire. This role sits directly on the trading floor and forms part of a broader build across the bank's core prime desks: Funding, Securities Portfolio Lending (SPL), and Synthetic Prime Brokerage.

The intent is to embed strong technical capability directly into the business to improve how key prime processes are run end‑to‑end. The role is best thought of as a desk strat / Quant Analyst(Strategist)‑style profile, rather than a pure engineering, operations support, or research position.

The role

  • Desk‑embedded position, working directly for the desk head and closely alongside an existing strat team
  • Focus on Python‑led automation and data analytics to improve:
    • Funding and collateral management workflows
    • Securities lending / short coverage processes
    • Trade lifecycle visibility and portfolio analytics
  • Significant exposure to process design and optimisation across the prime financing lifecycle - from trade entry through to funding, collateral, and portfolio management
  • Increasing use of applied AI tooling (Claude) to accelerate delivery and compress timelines; recent use cases have reduced year‑long initiatives to weeks
  • Working closely with:
    • Funding counterparts and desk stakeholders
    • Existing strat resources (project‑based)
    • Data and technology teams where required, while remaining desk‑owned
  • Over time, scope to build deeper commercial context and take part in stakeholder and client conversations

This is not a central IT role, not academic AI research, and not an immediate trading seat.

What they're looking for

  • Strong Python developer with experience automating real, production‑grade workflows
  • Backgrounds that translate well include:
    • Desk strats / quantitative strategists
    • Quant developers/analysts or front‑office tools roles
    • Market Operations or Global Markets Data Engineering / Analytics roles, where the individual has built meaningful automation and analytics rather than providing pure operational support
    • Governance & controls or trading analytics profiles with genuine technical depth
  • Comfortable operating in a desk environment and explaining technical work to non‑technical stakeholders
  • Clear aptitude and desire to build business understanding over time (funding, SPL, synthetic PB)

What this role is not

  • Not a centralised IT or platform engineering position
  • Not ML or AI research
  • Not a pure market operations support role
  • Not a pure trading role (though strong desk performers can build meaningful commercial exposure over time)

If you feel this role is a good fit, and something you would like to explore, apply today!

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