Senior Quantitative Trader - Automated Trading & Alpha Research

Marex

Paris

On-site

EUR 120,000 - 190,000

Full time

14 days+

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Job summary

Marex seeks a Senior Quantitative Trader to lead research, development and execution of systematic, data-driven trading strategies. You will create alpha-generating models, refine existing approaches and identify opportunities through quantitative analysis and market insights.

Collaborating with Trading, Technology and Risk teams, you will help scale automated trading, manage risk and optimize performance in a fast-paced environment.

Qualifications

  • Strong academic background in Mathematics, Statistics, Econometrics, Finance, Computer Science or related quantitative discipline.
  • Proven experience in quantitative trading with a track record of profitable systematic strategies and decent risk-adjusted returns.
  • Experience researching, designing, backtesting and deploying quantitative trading strategies.
  • Strong programming skills, preferably Python and/or C++, with production-grade models and analytics.
  • Experience handling large datasets and applying statistical techniques to identify trading opportunities.

Responsibilities

  • Research, develop and implement systematic, data-driven trading strategies across financial markets.
  • Generate new trading ideas and translate market observations into scalable models.
  • Monitor and optimize strategy performance and identify anomalies.
  • Collaborate with Trading, Technology and Risk teams to deliver robust trading solutions.
  • Contribute to the development of an automated, scalable trading environment.
  • Support all trading desk activities including risk management and post-trade analysis.
  • Communicate key findings to senior stakeholders and drive improvements.

Skills

Mathematics
Statistics
Econometrics
Finance
Computer Science
Python
C++
Quant trading
Data analysis

Education

Bachelor’s or higher in a quantitative field

Tools

Python
C++

Job description

Marex seeks a Senior Quantitative Trader to lead research, development and execution of systematic, data-driven trading strategies. You will create alpha-generating models, refine existing approaches and identify opportunities through quantitative analysis and market insights.

Collaborating with Trading, Technology and Risk teams, you will help scale automated trading, manage risk and optimize performance in a fast-paced environment.

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