Software Developer | Quoting | Experienced Hire

Overview

Susquehanna is one of the world’s leading options market makers, providing liquidity across global financial markets through cutting-edge technology, quantitative research, and deep trading expertise. We are looking for an experienced C++ Developer to join our Options Market Making technology team and help build the performance critical infrastructure that sits at the core of our trading business.

In this role, you will be part of an early effort to build our next generation of gateways, critical exchange connectivity systems that enable our traders to price, quote, and execute in highly competitive electronic markets.

This is an opportunity to work on high-impact systems where performance, reliability, and engineering precision directly influence trading outcomes.

How you’ll make an impact:

• Design and develop performance sensitive C++ applications that connect our trading platforms to exchanges and liquidity venues
• Engineer resilient real-time systems capable of handling massive volumes of market data and order flow
• Collaborate directly with traders, quantitative researchers, and infrastructure engineers to improve trading performance and execution quality
• Analyze system behavior and optimize latency, throughput, and determinism across the software stack
• Contribute to the architecture of next-generation trading systems supporting one of the largest options market making businesses globally

What we’re looking for

• Minimum 2+ years of experience programming in modern C++, with a focus on writing performance critical code is required
• Comfortable working in a fast-paced, collaborative environment with traders, researchers, and other developers to iterate quickly on ideas
• Knowledge of TCP/UDP networking and/or exchange facing protocols is a plus
• Prior experience in electronic trading or financial technology is a plus but not a requirement to be successful
• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Mathematics, or related technical field

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.

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.

#LI-DT1