FX Electronic Trading Quant | Build & Optimize Algos

Citigroup

Greater London

Presencial

GBP 90 000 - 150 000

Tempo integral

Há 4 dias
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Resumo da oferta

Citigroup in London seeks a Quantitative Analyst for FX Electronic Trading to own end-to-end models and algorithms, building automated frameworks and contributing to market making and execution strategies.

You will work closely with trading and sales, write production-quality Python code, and apply statistics to signal analysis, performance attribution, and execution quality measurement in a fast-paced, collaborative environment.

Qualificações

  • Master's degree in Mathematics, Statistics, Physics, Computer Science, Engineering or equivalent.
  • Strong programming skills: Python essential; Java or C++ exposure.
  • Solid grounding in statistics and probability; translate into trading insights.
  • Familiarity with FX/electronic trading concepts and market data handling.

Responsabilidades

  • Design and build automated analytical frameworks to monitor FX trading and algorithmic execution performance.
  • Identify, diagnose, and resolve model issues; surface insights proactively.
  • Collaborate with sales and trading to collect feedback and translate qualitative desk intuition into quantitative improvements.
  • Contribute to research initiatives on electronic market making, execution algorithms, and transaction cost analysis.
  • Write clean, production-quality code as a daily habit.

Conhecimentos

Python
Java/C++ exposure
Statistics
Market microstructure
Data analysis
Software design
Communication
Collaboration

Formação académica

Master's degree in a quantitative discipline

Descrição da oferta de emprego

Citigroup in London seeks a Quantitative Analyst for FX Electronic Trading to own end-to-end models and algorithms, building automated frameworks and contributing to market making and execution strategies.

You will work closely with trading and sales, write production-quality Python code, and apply statistics to signal analysis, performance attribution, and execution quality measurement in a fast-paced, collaborative environment.

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