Employment Type: 1-year contract

We are currently seeking a highly skilled Senior Quantitative Analyst to join a dynamic trading and risk environment within a leading financial services organisation.

This role is ideal for an experienced quantitative professional with deep exposure to cross-asset trading, derivatives, risk analytics, and trading platform integrations. The successful candidate will play a strategic role in bridging business, technology, and trading functions to drive advanced quantitative solutions and seamless system integration.

Key Responsibilities

• Collaborate with cross-functional teams to analyse, document, and optimise existing non-linear trading functionality and its use across the business
• Perform advanced quantitative analysis relating to financial risk, uncertainty, pricing, and valuation
• Lead the design and solutioning of future trading integration requirements through APIs and backend systems
• Act as the key liaison between business stakeholders and technical teams to ensure successful delivery of in-flight projects
• Drive implementation and enhancement of cross-asset trading and risk analytics frameworks
• Provide expert support, training, and product guidance to internal teams and platform clients
• Conduct regular product reviews and recommend updates aligned to market trends and business requirements
• Support XVA, derivatives pricing, volatility analytics, and trading risk models
• Ensure alignment with regulatory requirements and risk management best practices
• Lead end-to-end project delivery from requirements gathering through implementation and validation

Minimum Requirements

• BSc in Mathematical Sciences (Computational Science)
• BSc Financial Engineering
• BSc Actuarial Science and Financial Mathematics
• BEng Engineering
• CQF (Certificate in Quantitative Finance) advantageous
• CFA (Chartered Financial Analyst) advantageous

Required Experience & Technical Skills

• Strong experience in Cross Asset Trading and Risk (CATR)
• Deep exposure to derivatives trading and volatility analytics
• Proven experience with X Valuations and Analytics (XVA)
• Strong knowledge of trading applications such as:
  • Front Arena
  • Murex
  • Calypso
• Advanced programming capability in:
  • Python
  • C++
  • C#
  • SQL
  • VBA
  • R
  • Matlab
  • Java
• Strong financial modelling and system analysis capability
• Excellent stakeholder engagement and communication skills
• Demonstrated project leadership and delivery experience
• Ability to lead cross-functional technical and business teams
• Strong strategic thinking and client relationship management skills

Ideal Candidate Profile

The ideal candidate is a commercially minded quantitative specialist who combines deep technical expertise with strong trading domain knowledge. You thrive in complex markets environments, can translate sophisticated risk and pricing concepts into scalable solutions, and are comfortable engaging with both front-office and technology teams.