Quantitative Researcher — Real-Time Market Impact

Susquehanna International Group, LLP (SIG); Sydney; On-site; AUD 180,000 - 240,000; Full time

Job summary

Susquehanna International Group, LLP (SIG) is seeking experienced Quantitative Researchers to apply mathematics, statistics, and programming to solve complex financial market problems. The role focuses on building predictive models and trading strategies with real-time impact.

Ideal candidates hold a PhD or equivalent in a quantitative field, with strong statistics knowledge, large-dataset experience, and Python coding skills.

Qualifications

• PhD or equivalent degree in mathematics, physics, statistics, electrical engineering, computer science, operations research, economics, or related discipline.
• Strong foundation in probability and statistics for modeling financial problems.
• Experience working with large datasets and deriving insights.
• Develop statistical forecasting models impacting real-time markets.
• Proficient in clean, efficient coding; Python is a plus.

Responsibilities

• Apply mathematics, statistics, and programming to solve complex problems in financial markets.
• Develop and implement trading strategies with real-time impact.
• Collaborate with traders, researchers, and developers to deploy solutions.

Skills

Probability & statistics

Large datasets analysis

Statistical forecasting models

Object-oriented programming

Python proficiency

Creative problem solving

Financial problem solving

Education

PhD or equivalent in math/physics/stats/engineering/CS/OR/economics

Job description

Overview

Susquehanna is hiring experienced professionals as Quantitative Researchers. Our quantitative researchers apply mathematics, statistics, and programming to find solutions to complex problems that occur in financial markets. They use research as a tool to better understand global markets, varying products, and the network of exchanges that we trade on. Quants move Susquehanna's business forward by improving, identifying, and implementing trading strategies for the firm.

What we’re looking for

• PhD or equivalent degree in mathematics, physics, statistics, electrical engineering, computer science, operations research, economics, or related discipline
• Foundational knowledge of probability and statistics (a theoretical understanding as you will be spending much of your time modeling various financial problems)
• Experience working with and drawing conclusions from large datasets is a must
• Building statistical forecasting models to impact real-time problem sets and drive insight to relevant markets
• Strong practical computing skills in object-oriented languagesCreatively and drive to challenge standard methods and come up with innovative new approaches
• Having a proficiency in coding cleanly and efficiently is a plus (Python preferred)
• Previous finance industry experience is not required, but a passion for financial problem sets with real time impact is crucial
• Naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow

What we offer

• A flat structure of collaborative environment of highly technical colleagues with a fierce passion for what they do
• Industry-leading resources and technology infrastructure from one of the largest proprietary trading firms to support your day-to-day mandates
• Extensive training, learning, development programs led by some of the top performers in the firm
• Tangible mentorship and cross-collaboration between trading, research, and development teams fostering an environment of openness and knowledge sharing
• Real impact through solving complex technical challenges, working alongside other quantitative researchers and collaborating with traders to solve some of the most challenging research problems with real-time impact.

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.

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