CONNECTING TALENT WITH INDUSTRY LEADERS
Open Careers by Our Sponsors

Discover internship and full-time opportunities offered by ACE’s diverse network of sponsors - spanning quantitative finance, technology, and data science. These partnerships connect students with global leaders shaping innovation and analytics.

Open Positions

Explore career opportunities from our industry partners

Squarepoint

QuantFinance
Squarepoint is a global investment management firm that employs a data-driven, technology-based approach to trading across asset classes. With 17 offices and over 1,600 employees worldwide, Squarepoint offers opportunities to learn and grow alongside some of the brightest minds in finance, technology, and quantitative research.
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Millennium

QuantFinance
Millennium is a top tier global hedge fund with a strong commitment to leveraging market innovations in technology and data to deliver high-quality returns. A small, collaborative, and entrepreneurial systematic investment team is seeking a strong equities quantitative researcher to join in developing new signals and strategies. This opportunity provides a dynamic and fast-paced environment with excellent opportunities for career growth.
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Squarepoint

QuantFinance
  • 📊 Junior Quant Researcher
    Join a global team of quantitative researchers developing strategies that power next-generation trading systems. You’ll design, test, and implement data-driven models, collaborate with top researchers, and gain exposure to diverse asset classes and market dynamics.
    Ideal for: Recent graduates in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science, or Physics.
    Locations: London, New York, Singapore, Boston, Paris, Zug, Geneva, Hong Kong, Bangalore.
    Apply Now
  • 💻 Desk Quant Analyst
    Work at the intersection of technology and trading. Desk Quant Analysts collaborate closely with researchers and traders to translate evolving market needs into practical quantitative tools and models. This three-year rotational program offers exposure across trading desks, with the opportunity to transition into Quantitative Research or Development roles based on performance.
    Ideal for: Graduates or early-career professionals in Computer Science, Engineering, Mathematics, or other STEM fields.
    Locations: London, Madrid, Montreal, Bangalore, Singapore.
    Apply Now
  • 📈 Junior Discretionary Trader
    Partner with senior traders to manage live portfolios, monitor market positions, and execute trading strategies across multiple asset classes. This role blends mentorship with real-market exposure, building skills in macro analysis, portfolio construction, risk management, and execution.
    Ideal for: Individuals with strong analytical abilities, an interest in trading, and a desire to develop systematic and discretionary strategies.
    Locations: New York, London.
    Apply Now
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Millennium

QuantFinance
  • 🧮 (Intern) Quantitative Researcher, Systematic Equities
    Millennium is looking for an Intern or Junior Quantitative Researcher as part of a small team with a focus on systematic equity strategies. Either as a permanent position for exceptional candidates or as a 6-month off-cycle internship with the prospect of conversion to a permanent position afterwards.
    Principal Responsibilities:
    • Work alongside the Senior Portfolio Manager on alpha research, with a primary focus on: ideageneration, data gathering, research/analysis and back testing systematic equity strategies
    • Research ML or NLP techniques for alpha generation (depending on the candidate’s background)
    • Combine sound financial insights and statistical learning techniques to explore, analyze, and harness a large variety of datasets in order to build predictive models that will have a direct impact on the investment process
    Preferred Technical Skills:
    • Strong research and programming skills
    • Demonstrated experience programming in Python
    • Bachelors, Masters or PhD degree in a quantitative subject such as Data Science, Computer Science, Statistics, Applied Mathematics or related field ( An academic background in machine learning or NLP is a plus )
    Preferred Experience:
    • Demonstrated interest in finance through prior internship experience or independent projects ( please specify on CV ).
    • Strong economic intuition and understanding of financial markets, particularly equities
    • Creativity and critical thinking
    Target Start Date:
    • Q1 2026
    Locations: Zug, Switzerland.
    To Apply:  Send all resume submissions to "QuantTalent@mlp.com", including a recent transcript with courses and grades achieved.
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