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Key skills for this role
Design, develop, and maintain scalable systems, services, and applications supporting global educational and mock trading platforms.
Collaborate with trading, quant, AI/ML teams to build integrations with live and simulated trading systems, build targeted training platform, and dive into our production systems.
Architect efficient data structures and algorithms to support performance-critical applications.
Contribute to system design and strategic technology decisions.
Support and improve our global infrastructure and environments.
Strong programming and system design skills in an object-oriented language (C#, Java, or similar).
6+ years of experience
Solid understanding of algorithms, data structures, and software architecture.
Experience managing and supporting large-scale distributed systems.
Python proficiency is preferred.
A highly collaborative, open, explorative minset.
A proactive mindset and ability to take ownership of complex technical challenges while maintaining flexibility for rapidly changing priorities.
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.
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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Global quantitative trading and technology firm.
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Senior · 6+ years experience
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