Quantitative Engineer Associate

Goldman Sachs Electronic Market Making – Software Engineer – Associate – Bengaluru

The Electronic Market Making Cash Trading team systematically provides liquidity in US Equities and ETFs, both on-exchange and to low-touch client flow. The team leverages quantitative research combined with low-latency trading infrastructure to develop and implement automated trading and risk management strategies. We’re a small team that demands a high level of ownership and accountability from each contributor, while strongly emphasizing collaboration and transparency. Engineers on the team are deeply involved in both software and strategy development. We are seeking a dedicated and ambitious engineer who thrives in a challenging environment and wants to make a meaningful impact at the firm. 

Your Impact

You will be working on building and enhancing platforms focused on electronic trading, market making and execution. You will work with other engineers and trading teams to improve all aspects of execution, price-making and risk management. You’ll do this with a keen eye on performance, guided by a robust measurement framework and lots of experimentation. You will have an opportunity to develop a deep understanding of how GS interacts with some of the most dynamic and liquid markets in the world.

Responsibilities

Design, build and maintain high performance, low latency trading platform which can evolve and adapt to changes in our fast-paced, global business environment.

Analyze trading system performance and identify areas for improvement.

Generate ideas for system enhancements that drive commercial performance.

Implement, test and deploy these ideas.

Improve the safety and reliability of trading systems.

Manage work to balance the short-term needs of the business with strategic enhancements.

Understand global market structure, regulations and exchange requirements.

Basic Qualifications

Bachelor/Master’s degree in STEM with 3 to 6 years of experience developing software architecture in C/ C++

Strong track record of designing, developing and maintaining reliable trading components and critical infrastructure

A deep passion for technology and software development

Sound understanding of multi-threaded application design and development and experience with lock-free data structures

Professional experience working with distributed systems

Knowledge of CPU microarchitecture, caches and memory subsystems and experience with micro-optimizations

Experience in low latency messaging, TCP/UDP tuning, Linux latency tunings is preferred

Experience with low latency trading platform is preferable but not necessary

Excellent communication skills

Preferred Qualifications

Experience with statistics and data-science methodologies

Experience with Python and data-science packages (e.g. numpy, scikit-learn)

Experience building and maintaining high-performance research infrastructure for large data inputs

Goldman Sachs Engineering Culture

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.

Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here.