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Susquehanna International Group

Global quantitative trading, liquidity provision, research

Software Engineer - Sports Analytics, Experienced Hire

Backend EngineeringPosted on Nov 5
Full-timeDublin, IrelandNo salary listedIn-person

About the Job

Requirements

  • Proven success in server-side software development, system design, and technical event-driven architecture.
  • Consistent career progression in the development of data-focused, high-performance streaming systems.
  • Strong proficiency in C# and previous Python experience.
  • A solid understanding of Agile development methodologies.
  • An MS or BS degree in Computer Science or a related STEM field, or equivalent practical experience at the senior level.
  • A keen interest in sports wagering, trading, and technology.
  • The ability to adapt to changing priorities.
  • Excellent interpersonal and communication skills.

Responsibilities

  • Design and architect complex systems and software solutions from scratch.
  • Build an order-sending system that enables trading at scale across many sports leagues and multiple exchanges.
  • Develop and design high-performance streaming systems.
  • Integrate reference-file and streaming-data feeds from multiple vendors.
  • Develop data-recording and price-evaluation tools.
  • Deliver interactive presentations for business users and stakeholders.
  • Participate in the full software development life cycle, including building, testing, and production deployment.

Desired Qualifications

  • Experience with Kafka, Kubernetes, and cloud computing is highly desired.
  • Previous experience working within trading, sports analytics, or sports wagering industries is highly preferred.

About the Company

Susquehanna International Group

Global quantitative trading, liquidity provision, research

Susquehanna International Group (SIG) is a global quantitative trading firm that provides liquidity in equities, fixed income, commodities, and derivatives for institutional clients. Its core approach combines cutting-edge technology with quantitative research to build algorithms and models that identify trading opportunities and manage risk, enabling efficient, profitable trading. SIG differentiates itself through its deep emphasis on data-driven decision making, advanced technology, broad asset class coverage, and a strong global presence with offices in North America and regulated international locations. The company aims to generate trading profits by executing well-priced trades while supporting the careers of professionals in trading, technology, and quantitative research, all within a privacy-conscious framework.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Lower Merion Township, Pennsylvania
Founded
1987

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