Python Quantitative Developer

Description:

A leading global hedge fund is seeking a Python Quantitative Developer to join its front-office technology team, working at the intersection of quantitative research, engineering, and trading.

In this role, you'll partner directly with Portfolio Managers and Quantitative Researchers to develop the tools, models, and infrastructure that support investment decisions across global markets. This is a highly visible position where your work will directly contribute to strategy development, research productivity, and trading performance.

You'll be part of a collaborative, high-calibre environment where technology is viewed as a core competitive advantage and innovation is encouraged at every level.

🔧 What You'll Be Doing

• Develop and enhance Python-based research, analytics, and trading platforms
• Collaborate with Quantitative Researchers to implement, optimise, and productionise trading models and signals
• Build and maintain robust data pipelines, backtesting frameworks, and analytics tools
• Improve the performance, scalability, and reliability of live trading infrastructure
• Work closely with investment teams to transform research ideas into production-ready solutions
• Support the full lifecycle of quantitative strategies, from research through to deployment

🌟 Why Join?

💼 Front-Office Environment

Work directly alongside Portfolio Managers and Quants, gaining exposure to live trading strategies and investment decision-making.

⚡ Direct Impact on Performance

Build technology that influences research outcomes, portfolio construction, and trading execution.

🧠 Exceptional Team

Collaborate with some of the industry's most talented quantitative researchers, engineers, and investment professionals.

🚀 Cutting-Edge Technology

Work with large-scale datasets, sophisticated quantitative models, and modern engineering practices.

💰 Outstanding Compensation

Benefit from a highly competitive compensation package, including performance-based bonuses and excellent long-term growth opportunities.

✅ What We're Looking For

• Degree in Computer Science, Mathematics, Engineering, Physics, Statistics, or another quantitative discipline
• Strong Python development experience within quantitative finance, trading, or data-intensive environments
• Understanding of quantitative research concepts, including statistics, time series analysis, and risk modelling
• Experience working closely with Quantitative Researchers, Portfolio Managers, or investment teams
• Ability to translate research prototypes into scalable, robust production systems
• Strong analytical, communication, and problem-solving skills

➕ Nice to Have

• Experience with systematic trading strategies or quantitative research platforms
• Knowledge of financial markets, asset classes, and market microstructure
• Familiarity with cloud technologies, distributed computing, or large-scale data processing