Quantitative Developer | Core Data Sets | Experienced Hire
About The Position
The Quant Core Data team is looking for an engineer with significant Python experience who has a deep appreciation for performance and scalability to help build data flows used globally by our Quant Researchers & Strategists. In this role, you will: Design, develop, and scale our data framework with an eye for efficiency and robustness Build packages used exclusively by expert users to evolve our signal generation technology Have greenfield development opportunities to optimize existing tooling from scratch 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 [email protected]. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee. #LI-DT1 #LI-Onsite
Requirements
- At least 3+ years of experience in Python or C++, developing software with strict performance requirements
- A deep appreciation for performance and benchmarking, including experience in large scale computing problems and performance trade-offs
- Strong systems fundamentals (virtual memory, numa, io, networking, etc.)
- Deep Linux knowledge
- Experience in Python data analysis and/or low level Python
- Strong understanding of data structures and algorithms
- Enthusiasm for working with data, especially large sets of data; good aesthetics for cleanliness and correctness in data
- Bachelor’s degree in Computer Science, Engineering, Mathematics or related discipline or its foreign equivalent
Nice To Haves
- Advanced degree is preferred
Responsibilities
- Design, develop, and scale our data framework with an eye for efficiency and robustness
- Build packages used exclusively by expert users to evolve our signal generation technology
- Have greenfield development opportunities to optimize existing tooling from scratch
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
