Production Support Engineer
Susquehanna International Group
Production Support Engineer
Susquehanna International Group
Global quantitative trading, liquidity provision, research
Susquehanna is currently looking for a Production Support Engineer to join our Proprietary Trading Services team. As part of our team, you will be working to support the firm’s core businesses, while gaining broad-based experience across multiple technologies.
Your role requires quick assessment, triage and resolutions of technical issues impacting our environment. You’ll have the opportunity to develop a range of tools used for monitoring, real-time trade analysis, and job management. Furthermore, our technology framework continues expanding and changing, introducing top of the line, dynamic technologies. All of this offers you an opportunity to enhance your technical expertise and project management skills through collaboration with development and engineering staff across the firm and our technology organization as well as through the learning opportunities exposure to such technologies can provide.
Susquehanna Engineers are:
In this role, you will:
Visa sponsorship for work authorization is not available for this position now or in the future
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.
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