Head of Quantitative Trading

My client is seeking an experienced and visionary Head of Quantitative Trading to lead and expand our quantitative trading strategies. The ideal candidate will be responsible for driving the overall strategy, development, and performance of our quantitative trading operations, leveraging data science, algorithmic trading, and statistical modeling to generate alpha and optimize portfolio performance. As a senior leader within the firm, you will work closely with the executive team and other key stakeholders to shape the future of our trading business. Key Responsibilities: Leadership & Strategy : Lead the quantitative trading team, define strategic goals, and ensure the execution of trading strategies aligned with the firm’s objectives. Strategy Development : Design and implement quantitative trading models, leveraging advanced statistical, machine learning, and algorithmic techniques. Risk Management : Oversee and manage the risk associated with the trading strategies, ensuring compliance with internal policies and regulatory requirements. Team Management: Build, mentor, and manage a high-performing team of quants, data scientists, developers, and traders. Performance Monitoring : Monitor and optimize trading performance, ensuring strategies remain competitive and profitable across different market conditions. Innovation: Drive research and development of new trading ideas, staying at the forefront of industry trends and technological advancements. Collaboration : Work closely with other departments such as IT, compliance, risk, and research to ensure seamless trading operations. Technology & Infrastructure : Oversee the development and integration of trading platforms, data infrastructure, and analytics tools. Required Qualifications: Advanced degree (PhD or Master’s) in a quantitative field such as Mathematics, Physics, Computer Science, Engineering, or Finance. 10 years of experience in quantitative trading or a related role, with a proven track record of success in leading a trading desk or strategy. Expertise in statistical modeling, machine learning, and algorithmic trading. Proficiency in programming languages such as Python, C++, R, or MATLAB. Deep understanding of financial markets, trading instruments, and risk management principles. Strong leadership skills, with experience managing and mentoring teams. Exceptional analytical skills and ability to synthesize complex data into actionable strategies. Experience working with large datasets, high-frequency trading, and electronic market-making is a plus. Very competitive salary Bonus scheme