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 loo…
Associate Network Engineer | Network Services | Experienced Hire
United States · On-site
Mid level
Overview As a Network Services team member, you will gain exposure to a large and complex network topology. We are responsible for monitoring, maintaining, and providing support for the firm’s global enterprise network. …
Skills: LAN Network Support, OSI Layer 1-3 Troubleshooting, Network Switching, Internet Protocols, Fiber and Copper Wiring Standards
Trading System Engineering Internship: Summer 2027
Hong Kong, Hong Kong Island, Hong Kong S.A.R. · On-site
Entry levelVisa sponsorship
Overview Susquehanna is looking for highly motivated full-time students for our 10-week trading system engineering summer internship program based at our US Headquarters. This program offers students currently enrolled a…
Hong Kong, Hong Kong Island, Hong Kong S.A.R. · On-site
Entry level
Overview Susquehanna is looking for highly motivated full-time students for our 10-week quantitative strategy development summer internship program based at our US Headquarters. This program offers students currently enr…
Skills: C#, C++, Python, Numerical Programming, High Performance Computing
Overview We are hiring a Data Engineer to join our Data Technologies team. This team partners with middle-and back-office application teams to design, build, and support next-generation data platforms and pipelines that …
Overview Our Production Services Team is looking for a skilled engineer with a strong foundation in database technologies and systems engineering — not a traditional DBA, but someone who understands how databases fit int…
Overview Susquehanna is one of the world’s largest market makers, with a unique approach to technology, trading, and research. While this background puts us at the top of our game, what really makes us successful is our …
Overview Overview: As the Helpdesk and Desktop Support Engineer you will join our existing Client Corporate Services team who are responsible for supporting all teams in Susquehanna's Dublin office. This is a very demand…
Skills: Desktop Support, Windows OS, Active Directory, SCCM, Microsoft Intune
Hong Kong + Singapore Equity Research Discovery Program: October
Sydney, New South Wales, Australia · On-site
Entry level
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Python Developer- Quant Core Data | Experienced Hire
United States · On-site
Mid level
Overview Overview Join our Quant Core Data team to translate mathematical trading logic into high-performance code, and build and scale the data and backtesting infrastructure used by quantitative researchers and strateg…
Senior Software Engineer | Research Tech | Experienced Hire
United States · On-site
Senior
Overview 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, …
Financial Reporting AI Co-op with Drexel University
United States · On-site
Entry level
Overview The Susquehanna Co-op Program gives you an opportunity to apply what you learn in class to real world business scenarios. As an AI Co-op program for a hands-on, high-impact learning experience at the intersectio…
Quantitative Research Internship - Master's: Summer 2027
Hong Kong, Hong Kong Island, Hong Kong S.A.R. · On-site
Entry levelVisa sponsorship
Overview As a Quantitative Research Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with mentors wh…
Skills: Probability Theory, Statistical Analysis, Machine Learning, Python, C++
Hong Kong, Hong Kong Island, Hong Kong S.A.R. · On-site
Entry levelVisa sponsorship
Overview As a Quantitative Systematic Trading Intern at Susquehanna, you will work on projects that model the work of our full-time employees. You will also go through a comprehensive education program and interact with …
Skills: Probability Theory, Statistical Analysis, Machine Learning, Python, C++
Overview As Susquehanna continues to expand across APAC, we are looking for a Corporate Credit Analyst to join our growing Credit Risk team in Sydney. Working within the Trading Operations team, you will analyse financia…
Overview Susquehanna’s trading internship provides a distinctive opportunity to learn about quantitative trading. Splitting their day between working on a trading desk and education in a classroom setting, interns receiv…
Overview Susquehanna’s trading internship provides a distinctive opportunity to learn about quantitative trading. Splitting their day between working on a trading desk and education in a classroom setting, interns receiv…
Overview The Susquehanna Co-op Program gives you an opportunity to apply what you learn in class to real world business scenarios. As an AI Co-op program for a hands-on, high-impact learning experience at the intersectio…
Skills: Computer Science, Business Analytics, Programming Skills, Python, SQL
Overview As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively…
Skills: Probability Theory, Statistical Analysis, Machine Learning, Python, C++
Overview As a Quantitative Systematic Trader at Susquehanna, you’ll combine quantitative research expertise with deep trading intuition to build and refine data-driven, fully automated trading strategies. You’ll actively…
Skills: Probability Theory, Statistical Analysis, Machine Learning, Python, C++
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Other
bachelor degree, postgraduate degree
Excellent Salary, Benefits, Opportunities To Attend World Sporting Events
Posted 35d ago
Apply by Jul 8
~40 hrs/week
Responsibilities
Design, code, and maintain a next-generation sports analysis and trading platform. Source and cleanse data while developing pipelines and reports to influence trading strategies.
Requirements
Requires a degree in Computer Science or a STEM field with strong proficiency in the Python data stack and experience with large datasets. Previous experience in trading, sports analytics, or sports wagering is highly preferred.
Full job description
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 Quantitative Data Engineer to join our Prediction Markets team.
We specialize in geopolitical and sports analytics across the globe. This is an opportunity to build out a next gen sports trading system within an early-stage initiative focused on influential product development.Technology is at the forefront of everything we do, requiring cutting-edge and innovative technology expertise. Our technologists at Susquehanna enjoy working on highly complex in-house software that runs on the most modern platforms available, solving a wide range of problems to help us grow. Our people continue to grow and learn throughout their careers as market demands change the nature of our environment, thanks to our flat structure and collaborative environment.Join us and be part of a collaborative team that values continuous learning and growth. Are you passionate about sports wagering and trading? Do you thrive in a fast-paced, dynamic environment where innovation is at the forefront? If so, we have an exciting opportunity for you!
What You’ll Do:You will play a crucial role in designing, coding, and maintaining our next gen analysis and trading platform. You will work closely with Quantitative Researchers and other developers to:
Source and cleanse data, develop and maintain data pipelines as required by quant research and trading
Assist with researching new trading opportunities.
Develop, maintain and deploy interactive and packaged reports that will directly influence trading strategies
Performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large data sets
What We’re Looking For:
Experience: Experience with numeric data storage methodologies. Experience with processing of large and varied data sets. Ability to understand mathematical algorithms and develop high-performance implementations Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
Skills: Strong proficiency in the python data stack: NumPy, pandas, etc. and a solid understanding of Agile development methodologies. Experience with Kafka, Kubernetes and Cloud Computing is highly desired.
Education: PHD/MS/BS Degree in Computer Science or a related STEM field or equivalent practical experience at the senior level.
Interests: A keen interest in sports wagering, trading, and technology. Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred.
Attributes: Self-motivated, detail-oriented, and able to adapt to changing priorities. Excellent interpersonal and communication skills.
What we’re looking for
Experience: Experience with numeric data storage methodologies. Experience with processing of large and varied data sets. Ability to understand mathematical algorithms and develop high-performance implementations Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
Skills: Strong proficiency in the python data stack: NumPy, pandas, etc. and a solid understanding of Agile development methodologies. Experience with Kafka, Kubernetes and Cloud Computing is highly desired.
Education: PHD/MS/BS Degree in Computer Science or a related STEM field or equivalent practical experience at the senior level.
Interests: A keen interest in sports wagering, trading, and technology. Previous experience working within Trading, Sports Analytics or Sports Wagering industries is highly preferred.
Attributes: Self-motivated, detail-oriented, and able to adapt to changing priorities. Excellent interpersonal and communication skills.
Why Join Us?
Innovative Environment: Work on a mixture of highly complex in-house software using the latest platforms.
Growth Opportunities: Continuous learning and career development in a flat, collaborative structure.
Mentorship: Work with industry veterans and technical experts who are passionate about mentoring and sharing their knowledge.
Perks: Excellent salary, benefits, and opportunities to attend world sporting events.
Team: Join a small but growing team of skilled and passionate researchers, quants, and developers.
About Susquehanna
Susquehanna is a global quantitative trading firm founded by a group of friends who share a passion for game theory and probabilistic thinking. We have incorporated this approach into our culture, where you will find relentless problem solvers within each of our core disciplines: Trading, Technology, and Quantitative Research. From offices around the world, our employees collaborate to make optimal decisions and are driven by the desire to achieve winning results 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.
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Related keywords
Data EngineeringQuantitative ResearchSports AnalyticsSports WageringTradingPythonNumPyPandasKafkaKubernetesCloud ComputingAgileData PipelinesNumeric Data StorageMathematical AlgorithmsMarket Making
At Susquehanna, we approach quantitative finance with a deep commitment to scientific rigor and innovation. Our research leverages vast and diverse datasets, applying cutting-edge machine learning to uncover actionable insights and driving data-informed decisions from predictive modeling to strategic execution.
Today, Susquehanna has over 3,500 employees in 16+ global locations. While we have grown in size and expanded our reach, our collaborative culture and love for gaming remains.
Offices: 401 E. City Avenue, Bala Cynwyd, Pennsylvania 19004, US · 140 Broadway, 47th Floor, New York, NY 10005, US · Memorial Road, IFSC, County Dublin Dublin 1, IE · 100 Barangaroo Ave, Sydney, NSW 2000, AU · 1 Station Pl, Stamford, CT 06902, US
At Susquehanna, we approach quantitative finance with a deep commitment to scientific rigor and innovation. Our research leverages vast and diverse datasets, applying cutting-edge machine learning to uncover actionable insights and driving data-informed decisions from predictive modeling to strategic execution.
Today, Susquehanna has over 3,500 employees in 16+ global locations. While we have grown in size and expanded our reach, our collaborative culture and love for gaming remains.
Offices: 401 E. City Avenue, Bala Cynwyd, Pennsylvania 19004, US · 140 Broadway, 47th Floor, New York, NY 10005, US · Memorial Road, IFSC, County Dublin Dublin 1, IE · 100 Barangaroo Ave, Sydney, NSW 2000, AU · 1 Station Pl, Stamford, CT 06902, US