Associate - Asset Management Quantitative Strategist

Asset & Wealth Management - AM FI Solutions Strats - Associate - 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 Strats

Goldman Sachs Asset Management (AM) is a global, broad and deep platform with diversified capabilities across public and private asset classes. We are a top 10 global asset manager with a leadership position across asset classes and key market segments. Working side by side with the firm’s investment professionals, AM Strats develop investment strategies, advise clients on transactions, model risk and identify market opportunities.

Quantitative Strategists

Quantitative strategists solve real-world problems through a variety of analytical methods. Work in close collaboration with bankers, traders, and portfolio managers across the firm, by sharing quantitative perspectives on complex financial and technical challenges.

As a Quantitative Strategists you may work on alpha generating strategies; discuss portfolio allocation problems; and build models for prediction, pricing, trading automation, data analysis and more. The strats platform is designed for people to express themselves by providing creative solutions to business problems. Strats own analytics, models for pricing, return and risk, as well as virtual portfolio management platform. 

Responsibilities

As an Associate in Asset Management Strats, you will be expected to:

• Work with revenue-generating businesses to solve a broad range of problems, including quantitative strategy development, quantitative modelling, portfolio construction, portfolio optimization, infrastructure development and implementation, financial product and markets analytics
• Develop quantitative analytics and signals using advanced statistical, quantitative, or econometric techniques to improve portfolio construction process and improve portfolio performance
• Enhance and build out our Virtual Portfolio Manager Platform to automate trades generation to systematize the Portfolio Management process
• Develop sustainable production systems, which can evolve and adapt to changes in our fast-paced, global business environment
• Partner globally across multiple divisions and engineering teams to create quantitative modeling-based solutions
• Learn from experts in quantitative finance, innovate and incubate new ideas
• Prioritize across competing problems, communicate with key stakeholders
• Understanding both business and technical requirements, and ability to serve as a conduit between portfolio managers, quantitative researchers, technology and other stakeholders

Basic Qualifications

• Bachelor's degree/ Master's degree in a Quantitative Discipline with investment/quantitative analytics/research experience preferably with emphasis on mutual fund analysis, asset allocation and/or portfolio construction
• 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.
• Strong understanding of mathematical concepts including probability and statistics, time series analysis, regression analysis, forecasting, optimization etc.
• Strong fundamentals in Design and Analysis of Algorithms, Data Structures. 
• Ability to implement solutions to quantitative problems in code with proficiency in at least one programming language with experience in developing finance/statistics-based applications using proven technologies such as R, Python, PySpark

Preferred Qualifications

• Experience in ETFs

 

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.

Experience Level

Mid Level