Quantitative Research Internship - PhD: Summer 2027

Susquehanna International Group

New York (NY)

On-site

USD 348,257 - 434,343

Full time

14 days+

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Benefits offered by this job

Signing bonus
Housing
Breakfast and lunch

Job summary

Susquehanna International Group is seeking a Quantitative Research Intern in New York. This role involves applying statistical analysis, modeling, and machine learning techniques to predict market behavior and generate alphas on actual trading strategies.

Interns will participate in a comprehensive education program and receive personalized mentorship from experienced professionals, alongside a competitive weekly salary of $8,600. You'll collaborate with diverse teams to explore various aspects of quant work.

Qualifications

  • PhDs (in penultimate or final year) in quantitative fields.
  • Comfortable processing and analyzing large data sets in Python.
  • Experience with C++ (or another low-level language) is a plus.

Responsibilities

  • Apply probability theory and statistical analysis to predict market behavior.
  • Create strategies to execute modeling 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.

Skills

Analytical problem-solving
Logical reasoning
Statistical analysis
Machine learning
Python programming
C++ programming

Education

PhD in quantitative fields

Job description

Overview

As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full‑time employees, go through a comprehensive education program, and interact with mentors at the top of their field. You’ll 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 gain exposure to different groups and parts of the business.
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 environments.

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.

Opportunities as a quantitative research intern will be available in our Philadelphia and New York offices.

PhD quantitative research interns will receive a $8,600 weekly base salary during the ten‑week program. In addition, interns will receive a signing bonus, housing, breakfast and lunch, and other perks.

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 data sets 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.

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