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.
Engineering, which is comprised of our Technology Division and global strategists groups, 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.
Who We Look For
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.
Franchise Analytics, Strategy & Technology (FAST) is a cross-divisional team that that partners with sales, traders, and franchise managers in the Equities businesses to understand and quantify opportunities, inefficiencies and workflow obstacles.
We develop intuitive and relevant analytics that continuously challenges the status-quo of the conventional approaches to optimize business leaders’ decision making and convert data-
driven insights into action.
We are seeking someone to join us in building the next generation of analytics systems and products running against large scale complex financial data sets.
As a front-office engineer on the FAST team, you will be at the forefront of a data-driven initiative to optimize decision making across multiple asset classes.
You may be building a chatbot that uses natural language processing to automate trade idea retrieval, building a web app that utilizes vital franchise data through machine learning to suggest potential trades, or designing metrics that analyze inquiry and trading activity to enhance client relationships.
We are looking for a candidate who has :
RESPONSIBILITIES AND QUALIFICATIONS
How will you fulfill your potential?
stage solutions. Data-driven insights from usage patterns and user feedback will drive you to condense your work into simple and efficient real-
time workflow tools. You will also be required to think strategically on a higher level, proposing new business metrics or suggesting alternatives.
As you gain expertise in the dynamics of the trading business, you will have the opportunity to dive deeper into your areas of interest.