- Location
- Sydney, AU
- Seniority
- Lead
- Education
- Bachelor
- Closing date
- Today
- Source
- iCIMS
Description
Overview
Susquehanna is looking for Software Engineer to join our Market Data and Signals team. In this role you will develop and enhance low latency and high frequency market data exchange connectivity applications by designing, implementing, and delivering complex software systems that meet the business needs.
The successful candidate should have a demonstrated track record of successfully delivering complex applications that meet demanding performance and scalability goals in a trading environment.
What we’re looking for
A bachelor's degree (or higher) in a technical or related discipline
A minimum of 7 years’ experience designing and developing applications using C++ on Linux
Experience dealing with exchange disseminated raw market data feeds
Experience leading a team of skilled software developers and collaborating with quantitative researchers and traders
Excellent attention to detail and a thorough understanding of performance optimization and latency reduction methodologies.
Knowledge of financial products is preferred
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.