Quantitative Researcher - Master's: 2027 - Susquehanna International Group
Why This Role Stands Out
This Quantitative Researcher role offers an exceptional opportunity to develop cutting-edge statistical and machine learning models within a renowned firm, fostering significant career growth. You'll thrive here if you possess strong analytical skills, a passion for data-driven strategy, and a desire to collaborate with a talented team on impactful projects. Apply to join a dynamic environment where your innovative research directly contributes to market-leading strategies.
Quick Overview
Job Description
Overview
As a Quantitative Researcher at Susquehanna, you'll blend strong research capabilities with a deep understanding of trading to design, validate, backtest, and implement statistical and advanced machine learning models. Your work will span a range of initiatives, including large-scale data analysis, alpha signal research, and strategy performance enhancement. While there is some overlap with the Quantitative Systematic Trader role, Quantitative Researchers typically focus more on model development, robustness, and long-term reliability.
What you can expect
- Modelling. Apply probability theory, statistical analysis, and machine learning techniques to build robust models and generate alphas. Propose improvements or optimize existing strategies
- Evaluation. Backtest ideas using historical market data and large research clusters
- Education. Participate in a comprehensive education program and receive personalized mentorship from senior professionals to accelerate your growth
- Collaboration. Work in an open environment that allows you to collaborate with systematic traders and technologists to push strategies into production
What we're looking for
- Masters graduating by Summer 2026 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 Trader position. There is no need to apply to both positions to be considered for both.
Visa sponsorship is available for this position.
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.
#LI-Onsite
Skills
Similar jobs
Facilities Maintenance Technician, Shift 2
Apex Systems · Charlotte, United States
3 minutes ago€25/hrUS|Systems Architect
Apex Systems · Jersey City, United States
3 minutes agoElectronics Architect
Apex Systems · Austin, United States
24 minutes agoSystem Tester (26-236) E4 / COS-83
Apex Systems · Colorado Springs, United States
24 minutes agoSenior IAM Enablement Lead - TX, NC
Apex Systems · Charlotte, United States
24 minutes ago$69 - $74/hrRisk Analytics Consultant - NC
Apex Systems · Charlotte, United States
24 minutes ago$50 - $53/hr