Quantitative researcher - experienced (sydney)

• Ph D. or equivalent degree in Mathematics, Physics, Statistics, Electrical Engineering, Computer Science, Operations Research, or related discipline.
• Foundational knowledge of probability and statistics.
• Experience working with and drawing conclusions from large datasets.
• Building statistical forecasting models to impact real‐time problem sets and drive insight to relevant markets.
• Strong practical computing skills in object‐oriented languages.
• Creativity and drive to challenge standard methods and generate innovative approaches.
• Proficiency in coding cleanly and efficiently (Python preferred).
• Passion for financial problem sets with real‐time impact.

• Flat structure and a collaborative environment of highly technical colleagues.
• Industry‐leading resources and technology infrastructure from one of the largest proprietary trading firms.
• Extensive training, learning, and development programs led by top performers.
• Tangible mentorship and cross‐collaboration between trading, research, and development teams fostering openness and knowledge sharing.

Solving complex technical challenges alongside quantitative researchers and traders, delivering real‐time impact on markets and influencing trading decisions to create firm‐wide benefits.

Our non‐hierarchical culture allows employees at every level to thrive together, with strong work/life balance and a casual office environment focused on continuous professional and personal development.

Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. Our rigorous and analytical approach to decision making has made us one of the world's largest and most successful proprietary trading firms.

Susquehanna's integration of trading, technology, and quantitative research enables us to trade a wide range of financial products and asset classes, focusing on derivatives. We facilitate liquidity and ensure competitive pricing for buyers and sellers through millions of daily transactions.