Quantitative Developer

Lithe Consulting Ltd; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A global trading and investment group is seeking a Quant Developer to enhance Python-based pricing and risk libraries used across trading desks. This role requires strong skills in financial mathematics and derivatives pricing. Ideal candidates will have 5-10 years of quantitative development experience within trading or banking. Join a collaborative environment to impact trading performance through advanced analytics.

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 for solving complex numerical problems.

Responsibilities

• Develop and maintain Python pricing and risk libraries.
• Implement and calibrate models such as Black-Scholes and Monte Carlo.
• Collaborate with quantitative researchers to translate model specifications into production-grade code.

Skills

Expert-level Python development

Numerical computing (NumPy, SciPy, Pandas)

Derivatives pricing theory

Volatility modelling

Stochastic calculus

Calibration and curve bootstrapping

Risk measures (Greeks, sensitivities, VaR)

Background in pricing and risk models

Cloud-based environments (AWS)

DevOps tools (Git, Jenkins, Docker)

Education

Advanced degree (Master’s or PhD)

Tools

AWS (ECS, Lambda, S3)

C++

C#

Job description

Quant Developer – Pricing & Risk Technology

Location : London

Function : Trading Technology / Pricing & Risk Development

Reports To : Pricing and Risk Development Lead – London

Type : Full-Time, Permanent

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.

Overview

The Quant Developer will design, enhance, and maintain Python-based pricing and valuation libraries used across global trading desks. These libraries underpin real-time and end-of-day risk workflows and ensure consistency between valuation, risk, and front-office systems. The role requires a technically skilled developer with a solid grasp of financial mathematics and derivatives pricing, capable of implementing and optimising complex models in a production setting.

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 Black–Scholes, 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

• 5–10 years of experience in quantitative development or model engineering within trading, banking, or commodities.
• Advanced degree (Master’s 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 firm’s global pricing and risk architecture. The Quant Developer ensures model integrity, accuracy, and scalability—contributing directly to trading performance and decision-making. It’s an opportunity to shape how advanced pricing analytics are engineered and deployed across a high-performing global trading business.