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.

• 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
• 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
• 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.

• Strong Python developer with experience automating real, production-grade workflows
• Backgrounds that translate well include:
• 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)

• 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!