Quantitative Developer

Quantitative Developer, Global Banking & Markets, Systematic Market Marking New York, NY, United States Job Description 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 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. 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. Salary Range The expected base salary for this New York, New York, United States-based position is $150,000-$250,000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end. Benefits Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here. Equal Opportunity Employer We’re committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more: #J-18808-Ljbffr