At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. As a quantitative strategist, your responsibilities will include working with revenue-generating businesses to solve a broad range of problems, developing quantitative analytics and signals, and providing quantitative analytics to optimize investment structure and returns.
Requirements
- Bachelor's / master's degree in a quantitative discipline with quantitative analytics/ research, financial modeling experience
- Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning, regression analysis, and other numerical techniques
- Strong fundamentals in design and analysis of algorithms, data structures
- Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications and proficiency in at least one programming language such as Slang, Python, C, C++
- Strong written, oral communication skills and ability to work in a team environment
- Ability to multi-task and prioritize work effectively
- Passion and self-motivation to deliver technology solutions in a dynamic business environment