Quantitative Developer

Cititec; Greater London; Hybrid; GBP 90,000 - 140,000; Full time

Job summary

Cititec is partnering with a commodities trading client in London to recruit a Quantitative Developer / Quant Platform Engineer. The role sits in the technology function, delivering scalable pricing, valuation and risk platforms to support trading activities.

Hybrid/onsite in London, you will work with quantitative researchers and traders to translate business requirements into robust technical solutions. You will develop production-grade libraries and analytics, strengthen frameworks for market

Qualifications

• Strong software engineering skills with excellent coding ability.
• Experience building pricing, risk or quantitative platforms within commodities or financial markets.
• Solid understanding of derivatives pricing, valuation or quantitative analytics.
• Experience developing production systems rather than purely research models.
• Strong understanding of software architecture, engineering standards and scalable system design.
• Experience working alongside traders, quantitative analysts and technology teams.
• Pragmatic approach to solving business problems through technology.
• Commodity markets experience would be highly advantageous.

Responsibilities

• Design and develop scalable pricing and risk platforms for commodity trading.
• Build production-grade quantitative libraries and analytics.
• Develop frameworks that support valuation, risk calculations and market data processing.
• Collaborate with traders, researchers and tech teams to translate requirements into robust solutions.
• Improve reliability, performance and maintainability of quantitative infrastructure.
• Support evolution of the firm’s quantitative technology architecture.
• Contribute to software engineering best practices, testing and code quality.

Skills

Software engineering

Pricing platforms

Production systems

Tools

Python

C++

C#

Java

Job description

Quantitative Developer / Quant Platform Engineer

Commodities Trading

London UK (hybrid/onsite)

Cititec are working with a commodities trading business that is rebuilding its quantitative technology capability. They are looking for an experienced Quant Developer to play a key role in designing, building and enhancing the firm's pricing, risk and quantitative infrastructure.

This position will sit within the technology function, working closely with quantitative researchers, traders and technology teams to deliver robust, scalable platforms that underpin the firm's trading activities.

The Role

You'll be responsible for developing and maintaining the quantitative infrastructure that supports pricing, valuation, risk and market data across the trading business.

Typical responsibilities include:

• Designing and developing scalable pricing and risk platforms for commodity trading
• Building production-grade quantitative libraries and analytics
• Developing frameworks that support valuation, risk calculations and market data processing
• Working closely with trading, quantitative and technology teams to understand business requirements and translate them into robust technical solutions
• Improving existing quantitative infrastructure with a focus on reliability, performance and maintainability
• Supporting the evolution of the firm's overall quantitative technology architecture
• Contributing to software engineering best practices, testing and code quality across the platform

What We're Looking For

• Strong software engineering skills with excellent coding ability (typically Python, C++, C# or similar)
• Experience building pricing, risk or quantitative platforms within commodities or financial markets
• A solid understanding of derivatives pricing, valuation or quantitative analytics
• Experience developing production systems rather than purely research models
• Strong understanding of software architecture, engineering standards and scalable system design
• Experience working alongside traders, quantitative analysts and technology teams
• A pragmatic approach to solving business problems through technology
• Commodity markets experience (power, gas, LNG, oil, environmental products or broader commodities) would be highly advantageous.

Technical Experience

• Python, C++, C# or Java
• Pricing libraries and quantitative frameworks