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Quantitative Developer, Equities & Futures

Multi-Strat Hedge Fund
City of London
1 month ago
Applications closed

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Job Title: Quantitative Developer (C++)

Location:

London, UK
Department:

Equities and Futures Trading Pod
Position Type:

Full-time
Reports to:

Portfolio Manager

About the Company
Join a leading global hedge fund with a strong track record of delivering superior returns through sophisticated trading strategies and cutting-edge technology. Our firm operates across various asset classes, including equities, futures, fixed income, and more. We foster a collaborative environment where innovative ideas are encouraged, and employees are empowered to excel.

Role Overview
We are seeking a highly skilled Quantitative Developer with expertise in C++ to join our Equities and Futures Trading Pod in London. This role is integral to the development and enhancement of our trading algorithms, quantitative models, and high-performance trading systems. The ideal candidate will have a strong background in quantitative development, a deep understanding of financial markets, and the ability to work closely with traders, quantitative researchers, and other developers.

Key Responsibilities
Algorithm Development:

Design, develop, and optimize trading algorithms for equities and futures markets using C++.
Quantitative Model Implementation:

Collaborate with quantitative researchers to translate mathematical models into robust, efficient, and scalable code.
System Performance Optimization:

Ensure high performance and low latency of trading systems through rigorous optimization and testing of C++ code.
Backtesting and Simulation:

Develop tools and frameworks for backtesting trading strategies and running simulations to validate model performance.
Data Analysis:

Analyze large datasets to identify patterns, trends, and opportunities that can inform trading strategies.
Collaboration:

Work closely with traders, quants, and other developers to integrate new features and enhancements into the trading platform.
Code Review & Maintenance:

Participate in code reviews, maintain high code quality standards, and contribute to the continuous improvement of development practices.
Risk Management:

Develop and integrate risk management tools to monitor and mitigate potential risks in trading strategies.

Qualifications
Educational Background:

Bachelor's, Master's, or PhD in Computer Science, Engineering, Mathematics, Physics, or a related quantitative discipline.

Programming Skills:
Expertise in C++:

Strong proficiency in C++ (11/14/17) with a focus on performance optimization, memory management, and multithreading.
Additional Languages:

Proficiency in Python, R, or other scripting languages is a plus.

Financial Knowledge:
Market Expertise:

In-depth knowledge of equities and futures markets, with a strong understanding of market microstructure and trading strategies.
Quantitative Skills:

Familiarity with mathematical modeling, statistical analysis, and machine learning techniques.

Experience:
Industry Experience:

3+ years of experience as a Quantitative Developer or similar role within a hedge fund, proprietary trading firm, or investment bank.
Algorithmic Trading:

Proven track record of developing and deploying successful trading algorithms in live markets.

National AI Awards 2025

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