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Head of FX Quant Research

Job Description

Head of FX Quant Research

London

 

Our client is expanding their Quants Research team, within electronic trading, and so are looking for someone to lead their FX Quantitative Research. You will leverage advanced statistical techniques, mathematical models, and machine learning algorithms to analyze data, help build quantitative recommendations for the Liquidity Management team, optimize participant’s trading experience etc.

 

What you will be doing:

  • Lead and manage a team of data scientists focused on optimizing the performance of our FX platform, providing guidance, mentorship, and support to drive excellence in research initiatives.
  • Collaborate closely with developers, liquidity managers, product managers and other stakeholders to develop and implement quantitative models and algorithms to analyze market data, optimize liquidity management and identify opportunities for new features.
  • Conduct research on market microstructure, liquidity dynamics, and other factors influencing order flow and execution quality in electronic markets, leveraging both historical data and real-time market information.
  • Stay abreast of industry developments, regulatory changes, and technological advancements in electronic trading and quantitative research, and incorporate relevant insights into our research processes.
  • Communicate research findings, methodologies, and recommendations to key stakeholders, including management and clients. Ensure compliance with regulatory requirements and best practices in electronic trading and quantitative research.
  • Maintain and develop a strong link between the Market-data team and the Production team so that the underlying data fit the needs of quant research, and so that quant outputs are available to users.

 

What you will bring:

  • Proven track record of success in quantitative research in electronic markets (experience in FX will be highly considered), with a minimum of 2 years of experience in a similar role.
  • Advanced degree (Ph.D. preferred) in a quantitative field such as mathematics, statistics or finance, with a focus on financial markets and electronic trading.
  • Deep understanding of market microstructure, order flow dynamics, and execution quality metrics in electronic trading environments.
  • Strong proficiency in programming languages such as Python, experience with large Database and SQL.
  • Extensive knowledge of quantitative research methodologies, including statistical modeling, machine learning, and algorithmic trading strategies.
  • Excellent leadership and interpersonal skills, with the ability to inspire and motivate team members to achieve their full potential.
  • Exceptional analytical and problem-solving abilities, with a keen attention to detail and a commitment to delivering high-quality results.
  • Effective communication skills, with the ability to convey complex concepts to both technical and non-technical audiences.
  • Experience working in electronic trading, quantitative research, or related fields within the financial services industry is a plus.
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