Goldman Sachs is seeking to drive the adoption of cutting-edge Generative AI technologies to double down on its existing strengths and harness the power of Generative AI, addressing unique challenges that arise in generative AI systems within the financial domain
Requirements
- Proficiency in contemporary programming languages like Python, C++, or Java
- Extensive experience in software development for quantitative investment workflows in equities, fixed income, or multi-asset strategies
- Experience with machine learning, mathematics, statistics, physics, engineering, or quantitative finance
Responsibilities
- Collaborating effectively with colleagues to advance production machine-learning systems and applications
- Conceptualizing, experimenting with, and assessing AI-based software systems
- Developing, testing, and maintaining high-quality, production-ready code
- Demonstrating technical leadership by taking charge of cross-team projects
- Developing Retrieval-Augmented Generation (RAG) techniques to enhance AI systems
- Contributing to boost developer productivity with Generative AI
Other
- 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 3 years of experience in the industry that demonstrates expertise
- Ability to work effectively with colleagues
- Commitment to fostering and advancing diversity and inclusion in the workplace
- Ability to grow professionally and personally through training and development opportunities
