Senior FX Quant: Automated Trading & Analytics Lead in London

Senior FX Quant: Automated Trading & Analytics Lead in London

London Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Citi

At a Glance

  • Tasks: Design and build trading strategies while collaborating with sales and trading partners.
  • Company: Citi, a leading global bank with a dynamic work culture.
  • Benefits: Competitive salary, career growth opportunities, and impactful work.
  • Other info: Exciting environment with opportunities for innovation and collaboration.
  • Why this job: Join a top-tier team and make a real impact in automated trading.
  • Qualifications: Master's degree in a quantitative field and strong Python programming skills.

The predicted salary is between 60000 - 80000 Β£ per year.

Citi in London is looking for a Quantitative Analyst to join their FX Electronic Trading team. This role involves designing and building trading strategies and collaborating with sales and trading partners.

The ideal candidate will have a master's degree in a quantitative discipline, strong programming skills in Python, and a solid understanding of statistics. This position offers opportunities for impactful work in a dynamic environment.

Senior FX Quant: Automated Trading & Analytics Lead in London employer: Citi

Citi is an exceptional employer, offering a vibrant work culture in the heart of London where innovation thrives. Employees benefit from comprehensive growth opportunities, competitive compensation, and the chance to make a significant impact within the FX Electronic Trading team. With a focus on collaboration and cutting-edge technology, Citi fosters an environment that encourages professional development and rewards creativity.

Citi

Contact Details:

Citi Recruitment Team

We think you need these skills to ace Senior FX Quant: Automated Trading & Analytics Lead in London

Quantitative Analysis
Trading Strategy Design
Collaboration Skills
Master's Degree in a Quantitative Discipline
Programming Skills in Python
Statistical Understanding
Impactful Work