Python Quant Developer | Global Alpha Research| Experienced Hire

Overview

Susquehanna seeking a Quantitative Developer with experience in Python to join our Global Equity Alpha Research Team (GEAR), focusing on our global equity strategies.

As a Quantitative Developer in our GEAR team, you will be closely working with quantitative researchers, traders and data developers to: 

• Develop a global equities trading and portfolio management system.
• Develop, maintain and deploy analytical tools (Python) that will directly influence trading strategies
• Source, cleanse, develop and maintain data pipelines as required for the trading team, which can vary from various feature engineering and learning pipelines, to bespoke trading automation pipelines spanning trading, operations and 3rd parties
• Process large and varied data sets used by our quants for analysis and alpha research
• Performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large data sets

What you can expect from us:

Real Impact: By integrating sophisticated coding techniques with innovative engineering ideas, we design and optimize systems that can process massive amounts of data while still ensuring high performance and stability. You’ll see how your contributions towards developing and supporting leading-edge hardware and software technologies make a firm-wide impact that makes us all smarter, faster, and better.

Collaboration: You will partner closely with our Strategy Developers and Quantitative Researchers to translate complex trading problems into scalable and highly performant hardware solutions.

Growth: For many of our roles, we don’t expect you to have prior industry experience in proprietary trading or financial services to succeed at Susquehanna International Group. We’re looking for people who are naturally curious, relentless problem solvers, and have the desire to continuously innovate, learn, and grow.

Benefits: Susquehanna offers a wide array of competitive employee perks & benefits. 

What we’re looking for

• At least 3 years of experience developing data tools and applications in Python is required, 5+ preferred
• Experience with the Python data science stack: NumPy, Pandas etc. and/or other array-oriented programming environments.
• Prior experience in a Quant Developer role, with the ability to understand financial models and mathematical algorithms is a plus
• Experience of working in a Linux environment
• Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers is required
• Interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus
• Minimum Bachelor’s degree in CS, applied science, or similar preferred, advanced degree a plus

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.

Susquehanna does not accept unsolicited resumes from recruiters or search firms. Any resume or referral submitted in the absence of a signed agreement will become the property of Susquehanna and no fee will be paid.