On-Campus Recruiting

Quantitative Trading Intern 2024

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AlphaGrep is seeking exceptional 2nd-year students to join the firm as a Quantitative Trading Analyst Intern for a duration of 6 months starting after January 2024.

Our traders execute high frequency algorithmic strategies to capitalize on trading opportunities. As a Quant Trader Trainee, you will apply sophisticated quantitative modeling techniques to predict market behavior and write advanced code to grow our business. The internship will be paid 4,000€ per month and is aimed to result in a full-time position after the student graduates.

Your responsibilities may include any of the following:

  • Designing and deploying trading strategies
  • Exploring trading ideas by analyzing financial data and market microstructure for patterns
  • Perform post-trade analysis
  • Work with senior traders to acquire in-depth knowledge of financial markets, modeling, and risk management


AlphaGrep encourages students from Top Engineering French Grandes Ecoles to apply.

Additional requirements include:

  • Brilliant problem-solving abilities
  • Experience with data analysis, market research, and quantitative modeling
  • A passion for financial markets and new technologies
  • Programming experience as demonstrated through course work, research projects, or open source activities, preferably in Python
  • The ability to manage multiple tasks in a fast-paced environment
  • Strong communication skills in French and English.

About AlphaGrep Securities

AlphaGrep is a quantitative trading firm focused on algorithmic trading in various asset classes across the globe. We are a team of 350+ members spread across offices in Europe, Asia, and North America.

We use a disciplined and systematic approach to identify factors that consistently generate alpha. These factors are then coupled with our proprietary, ultra-low latency systems and robust risk management to develop trading strategies on global exchanges, across various asset classes including equities, options, commodities, currencies, fixed income, and digital assets.

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