Senior FX Quant & Algorithmic Trading Specialist

Citi

Greater London

On-site

GBP 110,000 - 170,000

Full time

2 hours ago
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Job summary

Citi in London seeks a senior associate to VP‑level Quantitative Analyst to lead end‑to‑end projects in FX electronic trading. The role emphasizes building automated analytical frameworks, rigorous model quality, and collaboration with trading and sales partners.

The successful candidate will code as a craft, challenge status quo, and contribute to a team responsible for performance and execution models across electronic market making and algorithmic strategies.

Qualifications

  • Master's degree in a highly quantitative discipline is required.
  • Strong programming ability and a track record of delivering production-quality models.
  • Experience with FX or electronic trading concepts is highly desirable.
  • Able to work end-to-end on meaningful deliverables with trading and sales partners.
  • Solid grounding in statistics and probability, with practical trading application.

Responsibilities

  • Design and build automated analytical frameworks for FX electronic trading performance.
  • Diagnose and resolve issues in models and strategies, surfacing insights proactively.
  • Collaborate with London and global desk partners to translate feedback into quantitative improvements.
  • Work with quant team on research spanning market making, execution algorithms, and TCA.
  • Write clean, production-grade code as part of daily workflow.
  • Challenge existing approaches and drive iterative development of the quantitative toolkit.

Skills

Python
Java/C++
Statistics
Market microstructure
Data handling
Software design

Education

Master's degree in quantitative field

Job description

Citi in London seeks a senior associate to VP‑level Quantitative Analyst to lead end‑to‑end projects in FX electronic trading. The role emphasizes building automated analytical frameworks, rigorous model quality, and collaboration with trading and sales partners.

The successful candidate will code as a craft, challenge status quo, and contribute to a team responsible for performance and execution models across electronic market making and algorithmic strategies.

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