Quantitative Trader - Futures/FX

We are looking for an experienced Quantitative Trader with a strong background in managing production of systematic Futures/FX trading strategies. As part of a highly collaborative and dynamic team, you will be responsible for leading the full strategy lifecycle, from risk management to execution and continuous performance monitoring. This role will give you the opportunity to contribute to the success of a high-performing multi-strategy hedge fund.

Key Responsibilities:

• End-to-End Strategy Management: Lead the full lifecycle of systematic Futures/FX trading strategies, from design and back testing to execution and continuous performance monitoring. Manage all aspects of strategy production, including risk management, trade execution, and ongoing optimisation.
• Risk & Performance Monitoring: Oversee and continuously monitor strategy performance, risk exposure, signal behaviour, and execution metrics. Implement adjustments to improve profitability, reduce risk, and enhance overall strategy efficiency.
• Scalable Strategy Development: Focus on designing and implementing scalable, robust trading strategies that perform well across different market conditions, ensuring the strategies can grow with increasing capital and adapt to new market trends.
• Optimization & Refinement: Leverage historical and real-time data to optimize trading models and execution algorithms. Identify areas for strategy improvement and implement data-driven enhancements to optimize risk/reward profiles.
• Collaboration & Insights: Work closely with portfolio managers, risk managers, and other quantitative researchers to refine models, improve execution, and ensure that strategies align with the broader investment goals of the firm.
• Market Insights & Research: Stay abreast of market trends, trading strategies, and innovations in quantitative finance to inform strategy development and performance enhancements.

Requirements:

• Experience: At least 2 years of experience as a quantitative trader, with a focus on developing and managing systematic Futures/FX trading strategies.
• Track Record: Strong track record of successfully managing the production and performance of Futures/FX-based trading strategies.
• Quantitative Skills: Solid understanding of quantitative finance, including statistical analysis, machine learning, and financial modelling.
• Programming Skills: Proficiency in Python or similar for strategy development, backtesting, and optimisation.
• Market Knowledge: Deep understanding of Futures/FX markets, trading mechanics, and risk management practices.
• Risk Management: Proven ability to implement effective risk management frameworks for systematic trading strategies.
• Scalability Focus: Experience developing scalable trading strategies that can adapt to changing market conditions and evolving capital bases.
• Collaboration: Excellent communication skills, with the ability to collaborate effectively across different teams (research, risk, technology, and portfolio management).
• Education: A degree in a quantitative field such as Mathematics, Physics, Computer Science, Engineering, or similar. A master's degree or PhD is a plus.

We are looking for an experienced Quantitative Trader with a strong background in managing production of systematic Futures/FX trading strategies. As part of a highly collaborative and dynamic team, you will be responsible for leading the full strategy lifecycle, from risk management to execution and continuous performance monitoring. This role will give you the opportunity to contribute to the success of a high-performing multi-strategy hedge fund.

Key Responsibilities:

• End-to-End Strategy Management: Lead the full lifecycle of systematic Futures/FX trading strategies, from design and back testing to execution and continuous performance monitoring. Manage all aspects of strategy production, including risk management, trade execution, and ongoing optimisation.
• Risk & Performance Monitoring: Oversee and continuously monitor strategy performance, risk exposure, signal behaviour, and execution metrics. Implement adjustments to improve profitability, reduce risk, and enhance overall strategy efficiency.
• Scalable Strategy Development: Focus on designing and implementing scalable, robust trading strategies that perform well across different market conditions, ensuring the strategies can grow with increasing capital and adapt to new market trends.
• Optimization & Refinement: Leverage historical and real-time data to optimize trading models and execution algorithms. Identify areas for strategy improvement and implement data-driven enhancements to optimize risk/reward profiles.
• Collaboration & Insights: Work closely with portfolio managers, risk managers, and other quantitative researchers to refine models, improve execution, and ensure that strategies align with the broader investment goals of the firm.
• Market Insights & Research: Stay abreast of market trends, trading strategies, and innovations in quantitative finance to inform strategy development and performance enhancements.

Requirements:

• Experience: At least 2 years of experience as a quantitative trader, with a focus on developing and managing systematic Futures/FX trading strategies.
• Track Record: Strong track record of successfully managing the production and performance of Futures/FX-based trading strategies.
• Quantitative Skills: Solid understanding of quantitative finance, including statistical analysis, machine learning, and financial modelling.
• Programming Skills: Proficiency in Python or similar for strategy development, backtesting, and optimisation.
• Market Knowledge: Deep understanding of Futures/FX markets, trading mechanics, and risk management practices.
• Risk Management: Proven ability to implement effective risk management frameworks for systematic trading strategies.
• Scalability Focus: Experience developing scalable trading strategies that can adapt to changing market conditions and evolving capital bases.
• Collaboration: Excellent communication skills, with the ability to collaborate effectively across different teams (research, risk, technology, and portfolio management).
• Education: A degree in a quantitative field such as Mathematics, Physics, Computer Science, Engineering, or similar. A master's degree or PhD is a plus.

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