Opis oferty:

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 strategist 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.

Wymagania:

• A Master's or Ph.D. degree in Computer Science, Machine Learning, Mathematics, Statistics, Physics, Engineering, Quantitative Finance, or equivalent relevant industry experience.
• A minimum of 4 years of experience in the industry that demonstrates your expertise.
• Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies.
• Proficiency in contemporary programming languages like Python, C++, or Java.

Dodatki i korzyści:

• Joining a dynamic team driving the adoption of cutting-edge AI and Machine Learning technologies.
• Contributing to various AI/ML domains within the financial industry.
• Opportunity to redefine the boundaries of quantitative research and artificial intelligence.
• Participating in conferences and open-source communities.