Global Banking & Markets Quantitative Developer, Systematic Market Making Associate London

What We Do

At Goldman Sachs our Engineers dont just make things - we make things possible. Change the world by connecting people and capital with the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems architect low latency infrastructure solutions proactively guard against cyber threats and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses transform finance and explore a world of opportunity at the speed of markets.

Goldman Sachs Engineers are innovators and problem-solvers building solutions in risk management big data mobile and more. We look for creative collaborators who evolve adapt to change and thrive in a fast-paced global environment. Want to push the limit of digital possibilities Start here.

Who We Look For

Quantitative developers are at the cutting edge of our business solving real-world problems through a variety of analytical methods. Working in close collaboration with traders and salespeople your invaluable quantitative perspectives on complex financial and technical challenges will power our business decisions.

Our ideal candidate will have strong a strong technical background and problem solving skills drive to investigate and learn new ideas and the judgement to deliver quick yet robust solutions.

Responsibilities

• Design build and maintain high-performance yet nimble and adaptive trading strategies for internal and external clients.
• Monitor trading performance for strategies daily and build algo customization based on clients needs.
• Utilize deep understanding of market structure regulations exchange service offerings and implement changes to these on an on-going basis.
• Communicate with traders sales clients and compliance officers about new feature requests explanation of existing features etc.

Basic Qualifications

• Advanced degree in relevant technical field such as Computer Science or Financial Technology.
• 2-5 years of relevant work experience.
• Proficiency in either Java or C.
• Extensive experience with designing and implementing algorithms for US trading.
• Experience in data-driven trading strategy performance analysis and optimizations.
• Strong communication skills and the ability to work as part of a team.

Preferred Qualifications

• Experience with building back testing for trading strategies.
• Experience with low latency trading strategy development.
• Experience supporting clients directly.