Global Banking & Markets - Operational & Analytical Data - Associate - Bengaluru
- Bangalore, Karnataka
- Permanent
- Full-time
Goldman Sachs is seeking an AI Quant Engineer to join our Applied AI Team. As an AI Quant engineer, you will leverage your expertise in quantitative trading, statistics, and machine learning to develop and implement AI-driven quantitative technologies that enhance revenue generation and foster innovation within the firm.In this role, you will have the opportunity to collaborate with various teams and divisions on pioneering projects that integrate artificial intelligence with quantitative finance, such as time series forecasting, market making, and pricing. As an AI Quant engineer, you will tackle the unique challenges associated with machine learning systems in the quant trading domain. Join us in pushing the boundaries of what is possible at the intersection of quantitative finance and artificial intelligence!Responsibilities
- Design, train, and deploy scalable AI models to drive commercial outcomes.
- Conduct experimentation and analysis to enhance model performance.
- Collaborate effectively with colleagues to advance the production of machine-learning systems and applications.
- Develop, test, and maintain high-quality, production-ready code.
- A Master or Ph.D. degree in Computer Science, Machine Learning, Quantitative Finance, Mathematics, Physics, or equivalent relevant industry experience.
- A minimum of 1-3 years of AI/ML experience in the industry that demonstrates your expertise.
- Proficiency in contemporary programming languages like Python and/or Java.
- Excellent understanding of machine learning techniques and algorithms, and experience with common data science toolkits.
- Demonstrated curiosity, ownership, and a willingness to work in a collaborative environment.