Susquehanna International Group logo
Susquehanna International Group
Posted 73 days agoVerified live 6h ago

Quantitative Research Internship – Master's: Summer 2027

Brief overview

Bala Cynwyd, PAIn-person
UndergradOr in progress
112 H-1B approvalsDept. of Labor
36 green cardsCertified filings
Probability TheoryStatistical AnalysisMachine LearningPythonC++Quantitative FinanceData AnalysisBacktestingMathematicsPhysicsStatisticsElectrical EngineeringComputer ScienceOperations ResearchEconomicsLogical Reasoning

About the company

Susquehanna International Group logo
Susquehanna International Groupsig.com

Susquehanna is a global quantitative trading firm committing its own capital to trade financial products around the world.

Visa sponsorship history

4 years sponsoring, last filed FY2026

Data powered by U.S. Department of Labor. This does not guarantee sponsorship for this specific role.
112H-1B approved
99%approval rate
32new H-1B hires
36PERM certified
$115,100median wage / yr
H-1B Petition ApprovalsVisas USCIS actually granted: the strongest sign the company sponsors.
202340
20245
202556
202611
LCA Certified ApplicationsAn early filing step, not a visa approval: it signals intent, not confirmed sponsorship.
202312
20244
20257
20267
Green Card (PERM) FilingsCertified green card filings: a long-term commitment to international hires.
202311
20244
202520
20261
Top sponsored roles
Software DeveloperSoftware Test Engineer - MidQuantitative Research Trading AssociateSoftware Developer - MidElectricity Strategist - Mid
Sponsored employees from
IndiaChinaVietnamUnited KingdomBangladesh

Job description

Summary

Susquehanna International Group is a global quantitative trading firm that focuses on scientific rigor, curiosity, and innovation. As a Quantitative Research Intern, you will engage in projects that model the work of full-time employees, build foundational knowledge in quantitative finance, and have the opportunity to create and evaluate trading strategies.

Responsibilities

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

Skills

  • Masters (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
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment
  • Experience with C++ (or another low-level language) is a plus

Qualifications

Must Haves

  • Masters (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
  • Strategic thinkers with demonstrated interests in strategic games and/or competitive activities
  • Self-motivated and quick to learn, thriving in dynamic, fast-moving environment

Nice to Haves

  • Experience with C++ (or another low-level language) is a plus

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