ABOUT GOLDMAN SACHS
The Goldman Sachs Group, Inc. is a leading global investment banking, securities and investment management firm that provides a wide range of financial services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals. Founded in 1869, the firm is headquartered in New York and maintains offices in all major financial centers around the world.
ABOUT ENGINEERING
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.
ROLES
Quantitative Strategist
Our quantitative strategists are at the cutting edge of our business, solving real-world problems through a variety of analytical methods. Working in close collaboration with bankers, traders and portfolio managers across the firm, their invaluable quantitative perspectives on complex financial and technical challenges power our business decisions.
As a member of our team, you will use your advanced training in mathematics, programming and logical thinking to construct quantitative models that drive our success in global financial markets. Your talents for research, analysis and aptitude for innovation will define your contributions and enable you to find solutions to a broad range of problems, in a dynamic, fast-paced environment.
Whatever your background, you will bring a fresh perspective and unique skillset to our business. In return, you will be trained by our experts across the firm to navigate the complexities of the financial markets and state-of-the-art methods in quantitative finance.
An ordinary day is anything but. You may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. Whichever your area of contribution, your ideas will have measurable effect on our business and for our clients.
BASIC QUALIFICATIONS
· Graduating from August 2024 to July 2025* with a Bachelor or Master Degree
· Preferred degree in Computer Science, Technology, Math, Statistics and/or Engineering
· No full time work experience (excluding internship experience)
· Interest and passionate in working in financial industry and technology
· Ability to work in a dynamic global environment with a focus on teamwork
· Impeccable attention to detail and excellent problem solving and analytical skills
· Ability to grasp complex issues, interpret information and communicate commercial and operational issues
· Display creativity and entrepreneurial spirit
· Flexibility to adapt to a dynamic and changing organization
· A proactive approach and a high level of enthusiasm
· Proficient with suite of Microsoft Office software and other computer skills
· Preferred technical skills in JavaTM technology, C, C++, UNIX®, Microsoft® technology, Perl, XML, HTML, Visual Basic, VBScript and N-tier architecture, among others.
*This is a future opportunity in our 2025 campus analyst program
We ask all interested candidates to also submit an application through our global recruiting portal which can be found at goldmansachs.com/careers.
Goldman Sachs is an equal opportunity employer. © The Goldman Sachs Group, Inc., 2024. All rights reserved.
