Goldman Sachs
Global Banking & Markets - Quantitative Developer, Systematic Market Making - Associate - London
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What We Do
At Goldman Sachs, our Engineers don't just make things - we make things possible. Change the world by connecting people and capital with ideas. Solve 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 a strong technical background and problem-solving skills, drive to investigate and learn new ideas, and the judgement to deliver quick yet robust solutions.
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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 ongoing 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.
ABOUT GOLDMAN SACHS
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
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We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs. Learn more about our culture, benefits, and people at GS.com/careers.
We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: https://www.goldmansachs.com/careers/footer/disability-statement.html
© The Goldman Sachs Group, Inc., 2023. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
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