Quantitative Trading Software Developer

5 days ago

Sydney, New South Wales, Australia EFinancialCareers Ltd. Full time

**About the Role**


We are seeking a highly skilled Quantitative Developer to join our Options Trading desk in Sydney, Australia.


As a Quantitative Developer, you will work closely with Quantitative Research and Trading teams to design, develop, and implement trading signals, tools, and strategies used directly by our trading desk.


**Responsibilities**



  • Design and develop client/server applications using Python or C# as primary development languages
  • Participate in the entire software development cycle from requirements gathering to production release
  • Collaborate with Trading, Quantitative Researchers, Infrastructure, and Strategy Developer Teams to develop and manage scalable and highly performant systems to support trading in the region

**What We Offer**


At Susquehanna International Group, we offer a wide array of competitive employee perks and benefits, as well as opportunities for growth and development in a dynamic and collaborative environment.


**Requirements**



  • 6+ years of experience in software development (Python, C#, or Java)
  • 3+ years in backend systems level development in Python
  • Strong verbal communication skills and the ability to deal effectively with both technical and non-technical teams
  • Eagerness to learn about both the business and technology aspects of trading
  • Minimum of a Bachelor's degree in Computer Science, Engineering, Mathematics, or a related discipline
  • Expert Knowledge of financial markets and derivatives products

**About Us**


Susquehanna International Group 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.

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