Asset & Wealth Management - AM MAS Digital Strats - Associate - Quantitative Engineering - Bengaluru

Who We Are

At Goldman Sachs, we connect people, capital and ideas to help solve problems for our clients. We are a leading global financial services firm providing investment banking, securities and investment management services to a substantial and diversified client base that includes corporations, financial institutions, governments and individuals.

Asset Management

Goldman Sachs Asset Management delivers innovative investment solutions through a global, multi-product platform that offers clients the advantages that come with working with a large firm, while maintaining the benefits of a boutique. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Our success is driven by a global team of talented professionals who collaborate to deliver innovative client solutions.

Quantitative Strategists

Quantitative Strategists collaborate with portfolio managers and clients to address complex financial and technical challenges. We develop analytical tools to help portfolio managers and clients understand portfolio risk and return. This includes creating interactive dashboards and portfolio construction tools that enable users to analyze and optimize investment strategies. Quantitative Strategists own investment analytics calculation engines, models for return and risk, and the portfolio management platform.

Responsibilities

As a member of the MAS Digital Strats team, you will be responsible for developing and deploying scalable systems for portfolio analysis to improve transparency and customizability of sophisticated investment strategies.

Key responsibilities include

• 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.

Basic Qualifications

• 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

Goldman Sachs Engineering Culture

At Goldman Sachs, our Engineers don’t just make things – we make things possible. Change the world by connecting people and capital with ideas. Solve the most challenging and pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets.

Engineering is at the critical center of our business, and our dynamic environment requires innovative strategic thinking and immediate, real solutions. Want to push the limit of digital possibilities? Start here!

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Goldman Sachs is an equal employment/affirmative action employer Female/Minority/Disability/Veteran/Sexual Orientation/Gender Identity.