FX Electronic Trading Quant — Senior Quant & Algo Developer

Citigroup Inc.; Greater London; Presencial; GBP 120.000 - 180.000; Jornada completa

Descripción de la vacante

The Quantitative Analyst role at Citi in London focuses on building automated analytical frameworks to monitor FX electronic trading and execution strategies. The candidate should take end-to-end ownership of meaningful deliverables and work closely with trading and sales partners to improve models and performance.

Preferred candidates have a Master’s degree in a quantitative field, strong Python skills, and familiarity with market microstructure and FX markets.

Formación

• Relevant experience in a quantitative modelling, analytics, or electronic trading role.
• Strong programming skills with Python; Java or C++ exposure is a plus.
• Solid grounding in statistics and probability with practical trading applications.
• Familiarity with market microstructure and FX/electronic trading concepts.
• Experience working with market data (tick data, order book, or execution data).
• Good software design sense and production-quality coding practices.

Responsabilidades

• Design and build automated analytical frameworks to monitor FX trading performance.
• Identify, diagnose, and resolve issues with models and strategies.
• Collaborate with sales/trading to translate feedback into quantitative improvements.
• Work with quant team on research in electronic market making and execution algorithms.
• Challenge approaches and iteratively develop the quantitative toolkit.
• Write clean, production-quality code as part of daily workflow.

Conocimientos

Python

Java or C++ exposure

Educación

Master's degree or higher in Mathematics/Statistics/CS/Engineering

Descripción del empleo

The Quantitative Analyst role at Citi in London focuses on building automated analytical frameworks to monitor FX electronic trading and execution strategies. The candidate should take end-to-end ownership of meaningful deliverables and work closely with trading and sales partners to improve models and performance.

Preferred candidates have a Master’s degree in a quantitative field, strong Python skills, and familiarity with market microstructure and FX markets.