Quantitative Developer – Volatility Strategies (Python/C++)/ London /£ Flexible

We are a leading hedge fund seeking exceptional Quant Developers to join our team of researchers and traders. This is a unique opportunity to work on cutting-edge strategies in a highly collaborative and intellectually rigorous environment.

Role Overview

As a Quantitative Developer, you will work closely with portfolio managers, researchers, and traders to design, implement, and optimize models and tools focused on volatility across asset classes. You will contribute to the full lifecycle of strategy development – from research and prototyping to production-level implementation.

Key Responsibilities

1. Develop and enhance pricing, risk, and analytics libraries for volatility trading strategies.
2. Collaborate with quants and traders to translate research ideas into robust, scalable code.
3. Optimize existing infrastructure for speed, efficiency, and reliability.
4. Work with large, complex datasets to support alpha generation and risk management.

Requirements

1. Strong programming skills in Python and/or C++ (production-level experience required).
2. Background in volatility markets (cross-asset or within any specific asset class such as equities, FX, rates, or commodities).
3. Solid understanding of derivatives, stochastic processes, or numerical methods.
4. Experience building tools and libraries used in a live trading or risk management environment.
5. Strong problem-solving ability and attention to detail.

Preferred Qualifications

1. Advanced degree in a quantitative field (Mathematics, Physics, Computer Science, Engineering, or related).
2. Experience working in a hedge fund, investment bank, or prop trading environment.
3. Knowledge of distributed systems or high-performance computing.

What We Offer

1. Competitive compensation and performance-based bonuses.
2. Exposure to cross-asset volatility strategies and cutting-edge research.
3. A flat, meritocratic culture where innovation is valued and rewarded.
4. State-of-the-art technology and infrastructure.

Please send a PDF CV to

mailto:quants@ekafinance.com