AM MAS Digital Strats - Associate Job in Bengaluru at Goldman Sachs

Goldman Sachs is hiring for the role of AM MAS Digital Strats - Associate!

Responsibilities of the Candidate:

• Proprietary Infrastructure and Library Development: Contribute to building and developing infrastructure and libraries that leverage proprietary quantitative models to perform portfolio calculations, enhance portfolio construction, and track portfolio positioning and risk over time.
• Full-Stack Solution Development: Design, test, and deploy robust full-stack solutions for portfolio analysis. This includes designing APIs, building user interfaces, and managing data pipelines and caching layers.
• Production System Management: Develop and maintain sustainable production systems that can adapt to changes in a fast-paced environment.
• Collaboration and Communication: Partner globally across multiple divisions and engineering teams. Prioritize competing problems and communicate effectively with key stakeholders. Collaborate with other engineers and DevOps teams to deliver end-to-end solutions.
• Team Leadership and Mentorship: Manage other engineers, supporting their training, creative development and architectural decisions

Requirements:

• Bachelor's degree in Computer Science, Mathematics, Statistics, Physics, Engineering, or a related field with quantitative analytics/research or financial modeling experience
• Passion to learn about portfolio construction techniques and foundational mathematical concepts in investment analytics
• Strong fundamentals in design, algorithms, and data structures
• Ability to implement coding solutions to quantitative problems, experience in developing finance and statistics-based applications, and proficiency in multiple programming languages such as Python, TypeScript or JavaScript
• Ability to multitask, work in a team environment, prioritize work, and communicate effectively with stakeholders to understand the business problems we need to solve · Strong understanding of mathematical concepts is a plus, including probability and statistics, time series analysis, regression analysis, forecasting, optimization, machine learning and other numerical techniques
• Self-motivation to deliver technological solutions in a dynamic business environment