Overview
On Site
Full Time
Skills
System Integration Testing
Decision-making
Research Design
Data Analysis
Quantitative Analysis
Computer Science
Computer Engineering
Software Development
Python
Data Science
Pandas
Game Theory
Quantitative Research
Collaboration
Finance
FOCUS
Derivatives
Trading
Recruiting
Job Details
Overview
Susquehanna is a proprietary trading firm that's dependent on a strong and creative technology team. We sit next to our stakeholders, allowing for a quick feedback cycle and a firsthand look at how our user interacts with our product. We value decision making and asking questions, and we pride ourselves on the fact that working at Susquehanna is more than just a job.
In this role, you will
What we're looking for
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.
If you're a recruiting agency and want to partner with us, please reach out to . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
#LI-Onsite
Susquehanna is a proprietary trading firm that's dependent on a strong and creative technology team. We sit next to our stakeholders, allowing for a quick feedback cycle and a firsthand look at how our user interacts with our product. We value decision making and asking questions, and we pride ourselves on the fact that working at Susquehanna is more than just a job.
In this role, you will
- Research, design, develop and improve systems used in backtesting and data analysis for automated option trading strategies
- Work with quantitative analysts, trading technologists and traders to build both ad-hoc and systematic tools and data which help in optimizing trading behavior and results
- Work with infrastructure developers to scale computations for high throughput
What we're looking for
-
- BS or MS in Computer Science, Computer Engineering or a similar major.
- 0-5 years of software development experience in Python
- Python data science (nump, pandas) experience is a plus
- Visa sponsorship is available for this position.
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.
If you're a recruiting agency and want to partner with us, please reach out to . Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
#LI-Onsite
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