Location: London
Contract: 6 months initially
Rate: £700 - £850 per day Inside IR35
Working Pattern: Hybrid - 4 days on-site per week

We are seeking an experienced Front Office Quant/Desk Quant to join a London-based trading team supporting the Rates and Risk Analytics functions.

This role sits directly on the trading floor, working alongside senior traders and quants to ensure that analytics, pricing tools, and risk models are robust, efficient, and aligned with business needs.

The position is ideal for a technically strong individual who enjoys a Front Office environment, close collaboration with traders, and ownership of analytical tools. You'll act as the bridge between trading, risk, and quant development teams in New York and Toronto.

Key Responsibilities

Provide quantitative and analytical support to traders on the London desk.
Maintain and enhance Excel-based risk and pricing tools, ensuring timely and accurate analytics.
Develop automation and analysis tools in Python (and occasionally C++).
Work closely with global quant teams to implement or adapt models locally.
Troubleshoot analytical issues and provide rapid support during trading hours.
Communicate directly with senior stakeholders to capture and refine requirements.
Contribute to the overall improvement of risk and PnL analytics across the desk.

Required Skills & Experience

Proven experience in a Front Office environment, ideally within Rates or Risk Analytics.
Strong Excel/VBA and Python skills (C++ experience highly desirable).
Solid understanding of risk concepts, curve building, and derivatives analytics.
Ability to operate effectively under pressure and deliver in a fast-paced trading setting.
Excellent communication skills - able to interact confidently with traders and quants.
Self-starter, proactive, and able to manage workload with minimal supervision.

Preferred Background

Prior experience as a Desk Quant, Front Office Risk Analyst, or Quant Developer.
Exposure to interest rate products, pricing models, or stress testing.
Experience working across multiple locations or with global quant teams.
Strong academic background in a quantitative discipline (Maths, Physics, Engineering, etc.).

Korn Ferry

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