Quantitative Research Internship - PhD: Summer 2027

Susquehanna International Group, LLP
  • Bala Cynwyd (Philadelphia Area), Pennsylvania
    30+ days ago

    Job Description

    Overview:

    As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors who are at the top of their field, allowing you to build foundational knowledge in quantitative finance. You will have the opportunity to build alphas on an actual trading strategy.

     

    What you can expect

    • Modelling: Apply probability theory, statistical analysis, and machine learning techniques to predict market behavior and generate alphas
    • Execution: Create strategies to execute on modelling ideas under simulated competition
    • Evaluation: Backtest ideas using historical market data and revise strategies
    • Breadth: Explore all aspects of quant work and different areas of Susquehanna’s business
    • Education: Participate in a comprehensive education program and receive personalized mentorship from experienced professionals to accelerate your growth
    • Collaboration: Work in an open environment that allows you to collaborate with multiple teams and get exposure to different groups and parts of the business

     

    Susquehanna combines all of the above to provide the best quant internship program in the industry. Join us to see why so many previous quant interns decide to return for a full-time career.

    What we’re looking for:
    • PhDs (in penultimate or final year) in quantitative fields such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
    • Analytical problem-solvers with excellent logical reasoning and a passion for turning data into decisions
    • Clear communicators in a fast-paced and highly collaborative environment
    • Programmers comfortable processing and analyzing large data sets in Python; experience with C++ (or another low-level language) is a plus
    • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
    • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

     

    By applying to this role, you will be automatically considered for the Quantitative Systematic Trading Internship program. There is no need to apply to both positions to be considered for both.

     

    About Susquehanna

    Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.

     

    If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

     

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    Numbers & Facts

    LocationBala Cynwyd (Philadelphia Area), Pennsylvania

    Skills

    • Analysis Skillsunmatched
    • C++ Programming Languageunmatched
    • Competitive Analysis/Strategyunmatched
    • Competitive Researchunmatched
    • Computer Programmingunmatched
    • Computer Scienceunmatched
    • Data Analysisunmatched
    • Data Setsunmatched
    • Economicsunmatched
    • Electrical Engineeringunmatched
    • Financial Mathematicsunmatched
    • Machine Learningunmatched
    • Mathematicsunmatched
    • Mentoringunmatched
    • Operations Researchunmatched
    • Physicsunmatched
    • Probability Theoryunmatched
    • Problem Solving Skillsunmatched
    • Python Programming/Scripting Languageunmatched
    • Quantitative Researchunmatched
    • Statisticsunmatched
    • Strategic Planningunmatched
    • Team Playerunmatched
    • Training Data Setsunmatched

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