Quantitative Developer

Lithe Consulting Ltd; Greater London; On-site; GBP 75,000 - 100,000; Full time

Job summary

A global trading and investment group based in Greater London is seeking a Quant Developer to enhance pricing and risk models. The role focuses on developing Python libraries and collaborating with quantitative researchers. Ideal candidates will have 5-10 years of experience, an advanced degree in a quantitative field, and a strong background in derivatives pricing theory and numerical methods. This role offers the opportunity to shape pricing analytics within a high-performing trading environment.

Qualifications

• 5-10 years of experience in quantitative development or model engineering.
• Demonstrated delivery of robust pricing models and scalable production code.
• Strong analytical skills and precision in solving complex numerical problems.

Responsibilities

• Develop and maintain Python pricing and risk libraries.
• Implement and calibrate models like BlackScholes and Heston.
• Design and maintain volatility surface calibration workflows.
• Collaborate with researchers to translate model specifications into code.
• Enhance model performance and diagnostic visibility.
• Contribute to regression testing and CI/CD workflows.

Skills

Expert-level Python development

Numerical computing (NumPy, SciPy, Pandas)

Derivatives pricing theory

Volatility modelling

Calibration and curve bootstrapping

Risk measures (Greeks, sensitivities, VaR)

AWS (ECS, Lambda, S3)

DevOps tools (Git, Jenkins, Docker/Kubernetes)

C or C# knowledge

Education

Advanced degree (Masters or PhD) in Mathematics, Physics, or Financial Engineering

Job description

Overview

This global trading and investment group operates across energy commodities and financial markets combining advanced quantitative methods with large-scale technology infrastructure. Its London engineering hub plays a central role in developing analytics that power front-office trading pricing and risk systems across oil power gas and equity products.

Key Responsibilities

• Develop and maintain Python pricing and risk libraries covering vanilla and structured options across commodities and equities.
• Implement and calibrate models such as BlackScholes, Heston, SABR and Monte Carlo-based approaches for structured instruments (APOs CSOs ULDs P1X).
• Design and maintain volatility surface calibration workflows including interpolation, extrapolation and smoothing.
• Collaborate with quantitative researchers and data engineers to translate model specifications into robust production-grade code.
• Manage market data dependencies, proxy logic and curve handling for valuation and risk analytics.
• Enhance model performance, numerical stability and diagnostic visibility.
• Contribute to regression testing, benchmarking and CI/CD workflows in Python and AWS environments.
• Act as subject-matter expert for pricing models and valuation logic supporting risk and trading teams globally.

Skills and Experience

• Expert-level Python developer with strong experience in numerical computing (NumPy, SciPy, Pandas).
• Deep understanding of derivatives pricing theory, volatility modelling and stochastic calculus.
• Experience with calibration, curve bootstrapping and risk measures (Greeks, sensitivities, VaR).
• Background in pricing and risk models for commodities or equity derivatives.
• Familiarity with cloud-based compute environments (AWS ECS, Lambda, S3) and DevOps tools (Git, Jenkins, Docker/Kubernetes).
• Knowledge of C or C# for potential model integration advantageous.
• Ability to interpret and implement quantitative research efficiently and transparently.

Profile

• 510 years of experience in quantitative development or model engineering within trading, banking or commodities.
• Advanced degree (Masters or PhD) in Mathematics, Physics, Financial Engineering or a related quantitative field.
• Demonstrated delivery of robust pricing models and scalable production code.
• Strong analytical skills and precision in solving complex numerical problems.
• Excellent communicator comfortable bridging quantitative technical and business perspectives.

Why This Role Matters

This position underpins the evolution of the firms global pricing and risk architecture. The Quant Developer ensures model integrity, accuracy and scalability—contributing directly to trading performance and decision-making. It is an opportunity to shape how advanced pricing analytics are engineered and deployed across a high-performing global trading business.

Required Skills

Python, AWS