Quant Developer

Robert Walters UK; Greater London; Hybrid; GBP 110,000 - 130,000; Full time

Job summary

A global financial services firm is seeking a Quant Developer for its Non-Linear Quantitative Solutions team. This role requires a strong knowledge of FX derivatives, particularly Vanilla FX Options, and involvement in designing and developing an FX Options portfolio optimization platform. Candidates should have strong communication skills and familiarity with regulated environments, while working closely with quantitative analysts. The position offers a hybrid working model with significant technical ownership and collaboration opportunities.

Benefits

High level of technical ownership

Close collaboration with front-office teams

Long-term platform build focus

Qualifications

• Strong working knowledge of FX derivatives, particularly Vanilla FX Options.
• Solid understanding of volatility surfaces and implied volatility.
• Exposure to machine learning or AI techniques applied to financial markets.

Responsibilities

• Design, develop, and enhance FX Options portfolio optimisation platform.
• Translate front-office trading and risk management requirements into algorithms.
• Support the build of efficient back-end systems and contribute to front-end usability.

Skills

FX derivatives

Machine learning or AI techniques

Communication skills

Ownership mindset

Education

Bachelor’s or Master’s in Mathematics, Financial Mathematics, Physics, Computer Science

Tools

KDB+/Q

Job description

Overview

We are recruiting a Quant Developer to join a specialist Non-Linear Quantitative Solutions team within a global financial services environment.

Key Responsibilities

• Design, develop and enhance an FX Options portfolio optimisation platform with full valuation and risk metrics
• Translate front-office trading and risk management requirements into robust, executable algorithms
• Implement and maintain models covering:
• First and second order Greeks
• Volatility surface modelling
• Stochastic and statistical market models
• Apply optimisation and linear programming techniques to portfolio and risk problems
• Collaborate closely with quantitative analysts, developers and risk managers to deliver scalable, efficient solutions
• Contribute to ongoing quant research and model development, including testing and validation
• Support the build of efficient back-end systems and contribute to front-end usability where required
• Ensure solutions meet performance, robustness and governance standards in a regulated environment

Required Skills & Experience

• Strong working knowledge of FX derivatives, particularly Vanilla FX Options
• Solid understanding of:
• Volatility surfaces and implied volatility
• Stochastic and statistical market models
• Bachelor’s or Master’s degree in Mathematics, Financial Mathematics, Physics, Computer Science or a related quantitative discipline
• Excellent communication skills, with the ability to work directly with technical and non-technical stakeholders
• Self-starter with strong ownership mindset and delivery focus
• Exposure to machine learning or AI techniques applied to financial markets
• Experience with KDB+/Q or time-series databases
• Background in FX, rates or derivatives-focused quant teams
• Familiarity with regulated, front-office or risk-aligned environments

Why Join

• Work on complex, real-world derivatives problems
• High level of technical ownership and influence
• Close collaboration with front-office, risk and quantitative teams
• Long-term platform build rather than short-term research-only work
• Robert Walters Operations Limited is an employment business and employment agency and welcomes applications from all candidates

About the job

• Contract Type: Permanent
• Focus: Quantitative
• Workplace Type: Hybrid
• Experience Level: Associate
• Location: London

FULL_TIME

Job Reference: 0420F3-2828E312

Date posted: 2 February 2026

Consultant: Joe Pawlica

london banking-financial-services/quantitative 2026-02-02 2026-04-03 banking London London 5 Churchill Place, Canary Wharf, London GB E14 5RD GBP 110000 130000 130000 YEAR