Key Responsibilities
- Create cutting-edge derivative pricing models and empirical models
- Develop automated trading algorithms for the firm and its clients
- Analyze exposures and structure transactions to meet client needs
- Design and develop complex parallel computing architectures, electronic trading tools, and advanced algorithms
Qualifications Required
- Strong academic background in a relevant field such as Mathematics, engineering, computer science, or economics
- 1 year of relevant experience
- Strong programming skills in a modern programming language (C, Python, Java, or equivalent) and familiarity with object-oriented design principles
- Ability to work as a member of a global team and deliver results quickly
- Ability to solve technical problems and explain the underlying ideas to a non-technical audience
Goldman Sachs commits its people, capital, and ideas to help clients, shareholders, and communities grow. Founded in 1869, Goldman Sachs is a leading global investment banking, securities, and investment management firm headquartered in New York with offices worldwide. The company is dedicated to fostering diversity and inclusion in the workplace and beyond, providing opportunities for professional and personal growth through various programs, benefits, and networks.
Goldman Sachs is an equal employment/affirmative action employer, committed to diversity and inclusion.