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Quantitative Strategist Prime Financing - Selby Jennings

eFinancialCareers

(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!