Susquehanna is looking for a Research Engineer/Quantitative Developer with strong Python and PyData skills to join our Options trading desk. Our Strategy Innovation group is a team of developers who are focused on implementing options strategies and building research tools to help optimize those strategies.

We work in a data-rich environment and were looking for someone who would be excited to work with our quantitative researchers and scientists to make sense of our data. This is an exciting opportunity to get an up-close understanding of the strategies and business decisions that drive Susquehanna's success. You will build research tools, automate studies, and help us turn data into profit.

How you’ll make an impact:

• Work alongside our quantitative researchers to help make sense of Susquehanna’s vast data sets
• Leverage the PyData stack (Python, NumPy, Pandas, etc.) to build applications/tools used in our research environment
• Write, test, and optimize Python code to implement and improve trading algorithms, backtesting frameworks, and data processing pipelines
• Identify performance bottlenecks in existing code and algorithms to ensure high efficiency and scalability

What you can expect from us:

Real Impact: By integrating sophisticated coding techniques with innovative engineering ideas, we design and optimize systems that can process massive amounts of data while still ensuring high performance and stability. You’ll see how your contributions towards developing and supporting leading-edge hardware and software technologies make a firm-wide impact that makes us all smarter, faster, and better.

Collaboration: Our systems engineers, network architects, technical analysts and software developers work together to create competitive edge through best-in-class technical solutions.

Growth: For many of our roles, we don’t expect you to have prior industry experience in proprietary trading or financial services to succeed at Susquehanna International Group. We’re looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow.

Benefits: Susquehanna offers a wide array of employee perks & benefits.

• At least 5+ years of experience within the PyData stack (NumPy, Pandas, SciPy, etc.), ideally in a research-oriented environment
• Strong background in data manipulation, data processing, and visualizations at a data-rich organization
• Strong communication skills, with the ability to convey technical concepts clearly to a wide range of stakeholders
• Prior experience working with quants, researchers, or scientists is ideal
• Minimum of a Bachelor’s degree in Computer Science, Mathematics, or related STEM field is required
• Experience in an OOP language like C# is a plus
• Previous experience working at a trading firm is helpful but not required

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.

What we do

We are experts in trading essentially all listed financial products and asset classes, with a focus on derivatives trading. Through market making and market taking, we handle millions of trading transactions around the world every day, providing liquidity and ensuring competitive prices for buyers and sellers. While our presence in the market is broad, our trading desks are highly specialized, allowing for a deep understanding of unique drivers of each asset class.

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.

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