Susquehanna International Group
Quantitative Developer - Python | Core Data | Experienced Hire
Susquehanna International Group, Narberth, Pennsylvania, United States, 19072
Overview
The Quant Core Data team is a new & fast-growing group of developers in the Quant Engineering & Data group. We produce the data for studies done by Quantitative Researchers & Strategists to steadily improve trading behavior and strategies. Primarily based in Philadelphia, we also build data flows globally for our offices in Sydney & Dublin.
We are looking for a Python Developer to join our Quant Core Data team. In this role, you will work to grow and scale our historical data framework which is critical to our strategy development process.
Performance is key for the scale of data we work with. We’re looking for an engineer with significant Python experience who has a deep appreciation for performance.
If you hate being bogged down by slow deployment cycles and enjoy working with users who understand the technology that you build, we encourage you to apply!
In this role, you will:
Design, develop, and scale our data framework with an eye for efficiency and robustness
Build packages used exclusively by expert users to evolve our signal generation technology
Have greenfield development opportunities to optimize existing tooling from scratch
What we’re looking for
At least 3+ years of experience in Python, developing software with strict performance requirements
A deep appreciation for performance and benchmarking. Experience in large scale computing problems and performance trade-offs.
Strong systems fundamentals (virtual memory, numa, io, networking, etc.)
Deep Linux knowledge and strong systems fundaments
Experience in Python data analysis and/or low level Python
Strong understanding of data structures and algorithms
Enthusiasm for working with data, especially large sets of data. Good aesthetics for cleanliness and correctness in data.
Bachelor’s degree in Computer Science, Engineering, Mathematics or related discipline or its foreign equivalent; advanced degree is preferred
Nice to Have:
Experience with C++
Experience in HFT environment
About SIG
SIG 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.
The Quant Core Data team is a new & fast-growing group of developers in the Quant Engineering & Data group. We produce the data for studies done by Quantitative Researchers & Strategists to steadily improve trading behavior and strategies. Primarily based in Philadelphia, we also build data flows globally for our offices in Sydney & Dublin.
We are looking for a Python Developer to join our Quant Core Data team. In this role, you will work to grow and scale our historical data framework which is critical to our strategy development process.
Performance is key for the scale of data we work with. We’re looking for an engineer with significant Python experience who has a deep appreciation for performance.
If you hate being bogged down by slow deployment cycles and enjoy working with users who understand the technology that you build, we encourage you to apply!
In this role, you will:
Design, develop, and scale our data framework with an eye for efficiency and robustness
Build packages used exclusively by expert users to evolve our signal generation technology
Have greenfield development opportunities to optimize existing tooling from scratch
What we’re looking for
At least 3+ years of experience in Python, developing software with strict performance requirements
A deep appreciation for performance and benchmarking. Experience in large scale computing problems and performance trade-offs.
Strong systems fundamentals (virtual memory, numa, io, networking, etc.)
Deep Linux knowledge and strong systems fundaments
Experience in Python data analysis and/or low level Python
Strong understanding of data structures and algorithms
Enthusiasm for working with data, especially large sets of data. Good aesthetics for cleanliness and correctness in data.
Bachelor’s degree in Computer Science, Engineering, Mathematics or related discipline or its foreign equivalent; advanced degree is preferred
Nice to Have:
Experience with C++
Experience in HFT environment
About SIG
SIG 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.