Overview

We’re looking for accomplished researchers who are interested in growing their career in the field of quantitative finance. While the problems we solve at Susquehanna are often different from academia, our problems demand the attention of brilliant minds that have an extraordinary attention to detail and a relentless pursuit of understanding.

What You'll Do

- As a Quantitative Researcher, you will investigate ideas by immersing yourself in market data, leveraging tools in mathematics, statistics, and programming.
- The general lifecycle of a quant project begins with an idea, which may come from anyone: you, your mentor, or someone you meet in the cafeteria.
- Through your research, you may discover a new pattern that can transform into a trading signal.
- You will work side‑by‑side with technologists to backtest your results and put that trading signal into production.
- Once that signal is embedded in our electronic trading strategies, you will continue to research the strategy to optimize its performance.
- As the trading strategy evolves, you will discuss with other researchers, strategists, and traders to collect feedback and brainstorm new ideas.
- Some of those ideas will turn into new quant projects, and the lifecycle starts all over again.
- We have a comprehensive orientation program designed to bridge the gap between academia and industry, covering topics such as options pricing, proprietary data sets, and data analysis techniques. Beyond orientation, our trading floor serves as an unlimited source of discussion for learning and development.

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 in order to be considered for both.

What We're Looking For

- PhD in a quantitative field such as mathematics, physics, statistics, electrical engineering, computer science, operations research, or economics
- Exceptional mathematical problem‑solving skills




- Strong communication skills in a fast‑paced and/or highly collaborative environment are essential
- Solid, practical computing skills; a specific language proficiency is less important than your ability to get computers to accomplish tasks efficiently and reliably
- Experience working on in-depth research projects
- Finance experience is not a requirement
- Visa sponsorship is available for this position

What We Offer

- Our market‑leading education program, incorporating classroom theory, simulated learning, and a secondment to our Philadelphia office, is renowned for setting graduates up for success
- Our non‑hierarchical culture allows employees of every level to thrive and have an impact. We are not your typical trading firm – the environment is casual, collaborative and we focus on continuous development
- Highly competitive remuneration, attractive bonus, and additional leave entitlements
- Private healthcare and gym allowances, plus wellness initiatives
- Fully stocked kitchen – daily breakfast and lunch
- Regular social, sporting, and community events
- Visa sponsorship and relocation package where required
- Explore our benefits and culture link

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.

Equal Opportunity statement

We encourage applications from candidates from all backgrounds, and we welcome requests for reasonable adjustments during the recruitment process to ensure that you can best demonstrate your abilities. If you have any questions, please contact .

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📌 Quantitative Researcher - PhD: 2026 (City of Sydney)
🏢 Susquehanna International Group
📍 City of Sydney