Python Developer

**Overview** Susquehanna technologists are at the heart of where cutting-edge technology meets the fast-paced world of trading. Our growing teams build some of the most powerful trading systems in the financial industry and solve complex problems in a constantly changing environment. From large scale computations, real-time systems, high performance computing to petabytes of data. By integrating sophisticated coding techniques with innovative engineering ideas, we design and optimise systems that can process massive amounts of data while still ensuring high performance and stability. Collaborating with traders and quantitative researchers, our systems engineers, network architects, technical analysts and software developers create competitive edge through best-in-class technical solutions.

As a Software Developer within our Trading Systems team, you will have the opportunity to work closely with traders and the firm’s top technologists. Ideally, you will have a background in trading systems and/or performance tuning and want the chance to compete against the best systems in the world.

**What You’ll Do**

• Develop and enhance trading applications by designing, implementing, and delivering complex software systems that meet the business needs.
• Solve complex problems by providing innovative and scalable solutions with a focus on high frequency and low latency automated trading.
• Bring/gain a thorough understanding of the business domain (trading, strategies, market making, market data and low latency).
• This is a hands-on role where you will thrive on the technology challenges. You will see your ideas and hard work used by experienced traders across a diverse range of instruments and markets.

**What You’ll Do** As a Quantitative Developer you will be closely working with traders, quant analysts, and trading strategy developers to:

• Develop, maintain and deploy analytical tools (Python) that will directly influence trading strategies.
• Source, cleanse, develop and maintain data pipelines as required the trading teams.
• Experience with processing of large and varied data sets
• Performance-tune existing applications and processes, improve existing codebases and data flows to allow for efficient processing of large data sets.

**What We’re Looking For**

• Experience with the Python data science stack: NumPy, Pandas etc.
• Experience with numeric data storage methodologies, e.g., hdf5
• Experience of working in a Linux environment
• Strong knowledge in computer networking, e.g., UDP, multicasting
• Ability to understand financial models and mathematical algorithms.
• Strong interpersonal and communication skills for interacting with traders, quantitative analysts, and other software developers.
• Experience or interest in areas such as capital markets, probability, game theory and the application of IT solutions to these areas is a plus.

**What’s In It For You :** Real Impact: As an essential member of the team, your role involves supporting, innovating, and optimizing systems processing massive amounts of data, all while ensuring high performance and stability. You’ll see how your contributions towards 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 Trading, Quantitative Researchers, Infrastructure and Strategy Developer Teams to develop and manage scalable and highly performant systems to support trading in the region.

Growth: 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. link

**About Susquehanna:** Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundar…