Commodity Pricing Engine Developer

Userc Dehradun; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

Userc Dehradun in Greater London, United Kingdom, seeks a seasoned Commodity Pricing Engine Developer to design and implement a low-latency pricing engine for RFQ workflows. The role combines quantitative modelling with software engineering across Python, C++, and Java, integrating market data feeds and trading platforms in a fast-paced environment.

You will calibrate, test, and validate models, ensure governance, and collaborate with traders and quants to deliver robust pricing solutions with

Qualifications

• Strong experience in Commodity Derivatives or OTC Derivatives Pricing.
• Proven expertise in Quantitative Development, including model creation, calibration, and validation.
• Deep understanding of financial mathematics and derivatives valuation techniques.
• Experience with Python, C++, Java, and other OO languages.
• Experience integrating pricing systems with market data and trading platforms.
• Ability to work in fast-paced trading environments.

Responsibilities

• Design, develop, and maintain pricing models for commodity and OTC derivatives products.
• Build, calibrate, and validate quantitative pricing models to ensure accuracy and robustness.
• Develop and enhance a bespoke pricing engine for RFQ quote generation.
• Integrate pricing models with market data feeds, trading platforms, and RFQ systems.
• Optimize pricing calculations for real-time performance and low-latency execution.
• Collaborate with traders, quants, and technology teams to translate business requirements into scalable solutions.
• Conduct model testing, performance analysis, and continuous improvements.
• Ensure compliance with model governance, validation standards, and risk management frameworks.
• Support production deployments and troubleshoot pricing-related issues.

Skills

Commodity pricing

Quantitative development

Python

C++

Java

Market data integration

Trading platforms

Tools

Bloomberg

Job description

Commodity Pricing Engine Developer/Murex Developer

We are seeking a highly skilled Commodity Pricing Engine Developer to design, build, and enhance a bespoke pricing engine that generates real-time prices for client RFQ (Request for Quote) workflows. The ideal candidate will have deep expertise in commodity derivatives pricing, quantitative model development, and software engineering, with a strong focus on delivering accurate and low-latency pricing solutions in trading environments.

Key Responsibilities

• Design, develop, and maintain pricing models for commodity and OTC derivatives products.
• Build, calibrate, and validate quantitative pricing models to ensure accuracy and robustness.
• Develop and enhance a bespoke pricing engine for RFQ quote generation.
• Integrate pricing models with market data feeds, trading platforms, and RFQ systems.
• Optimize pricing calculations for real-time performance and low-latency execution.
• Collaborate with traders, quants, and technology teams to translate business requirements into scalable solutions.
• Conduct model testing, performance analysis, and continuous improvements.
• Ensure compliance with model governance, validation standards, and risk management frameworks.
• Support production deployments and troubleshoot pricing-related issues.

Required Skills & Experience

• Strong experience in Commodity Derivatives or OTC Derivatives Pricing.
• Proven expertise in Quantitative Development, including model creation, calibration, and validation.
• Deep understanding of financial mathematics and derivatives valuation techniques.
• Strong software engineering skills with proficiency in:
• Python
• C++
• Java
• Similar object-oriented programming languages
• Experience integrating pricing systems with market data and trading platforms.
• Strong problem-solving and analytical skills.
• Ability to work effectively in a fast-paced trading environment.

Preferred Qualifications

• Experience building real-time pricing engines within electronic trading (e-Trading) environments.
• Knowledge of Bloomberg market data integration.
• Experience with messaging technologies and connectivity frameworks.
• Familiarity with distributed systems and high-performance computing concepts.
• Understanding of commodity markets, trading workflows, and risk management processes.