Asset & Wealth Management - Strategist - Associate - New York

Goldman Sachs • New York, NY

20h

About The Position

Asset Management
A career with Goldman Sachs Asset Management is an opportunity to help clients across the globe realize their potential, while you discover your own. As part of one of the world's leading asset managers, you can expect to participate in exciting investment opportunities while collaborating with talented colleagues from all asset classes and regions and building meaningful relationships with your clients. Working in a culture that values integrity and transparency, you will be part of a diverse team that is passionate about our craft, our clients, and building sustainable success. Goldman Sachs is one of the leading investors in alternatives globally and invests in the full spectrum of alternatives including private equity, growth equity, private credit, real estate, infrastructure, hedge funds, and sustainability. Clients access these solutions through direct strategies, customized partnerships, and open-architecture programs. The alternative investments platform is part of Goldman Sachs Asset Management, which delivers investment and advisory services across public and private markets for the world's leading institutions, financial advisors, and individuals. Goldman Sachs has over $2.8 trillion in assets under supervision globally as of December 31, 2023.
What We Do
Within Asset Management, Strategists (also known as “Strats”) play important roles in research, valuation, portfolio construction, and risk management analytics. A Strategist will apply quantitative and analytical methods to come up with solutions that are accurate, robust, and scalable. Strats are innovators and problem-solvers, building novel and creative solutions for manager selection, portfolio construction, and risk management. You will develop advanced computational models, architectures, and applications to meet the challenges of a rapidly growing and evolving business.
We build the core analytics and modeling platforms used by Portfolio Strategy, Portfolio Management and Investment teams to make data driven investment and fund management decisions. Our work sits at the intersection of software engineering, data, and finance, turning complex financial models and datasets into reliable, production-grade systems directly used by the business.

Requirements

• Bachelor’s degree or higher in Computer Science, Engineering, Mathematics, or related technical discipline.
• 3-5 years of hands-on experience building and maintaining production software systems, using Git and standard SDLC workflow.
• Excellent programming and software design skills in at least one object-orientated language such as Java, Kotlin, C++, or Python.
• Solid understanding of algorithms and data structures, with experience applying them to solve real-world engineering problems.
• Ability to take ownership of problems, work effectively in a team, and drive tasks to completion in ambiguous or evolving problem spaces.
• Willingness and ability to learn financial concepts and work with finance-related data and business logic; prior finance experience is not required.

Nice To Haves

• Master’s degree in Financial Engineering or related technical field.
• Experience with portfolio or financial modeling, including developing, evaluating, and interpreting complex analytical models.
• Strong communication and collaboration skills, with the ability to translate technical concepts into clear actionable insights for business stakeholders.
• Experience building and shipping software in a commercial or production environment with real users.
• Exposure to data stores and query languages such as SQL and MongoDB.
• Working knowledge of JavaScript or Typescript and at least one modern frontend framework (e.g. React or Angular).

Responsibilities

• Design, build, and own production-grade backend systems and APIs that support portfolio analysis, fund modeling, performance attribution and scenario analytics for Portfolio Strategy and Portfolio Management teams.
• Architect and implement scalable services and data pipelines that power quantitative analytics for investment and liquidity decision-support tools.
• Translate complex business and financial requirements into robust, testable, and maintainable technical solutions.
• Build and maintain data-intensive components, ensuring data quality, performance, and reliability across the platform.
• Collaborate with product partners and frontend designers to expose analytics through intuitive user interfaces when needed, while maintaining a back-end focus.
• Write high-quality, well-tested code, contribute to code and design reviews, and take ownership of features from concept through production.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level