Asset & Wealth Management - Software Engineering - Vice President - New York

New York, NY, US • Posted 3 days ago • Updated 5 hours ago
Full Time
On-site
Fitment

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Job Details

Skills

  • Wealth Management
  • Software Engineering
  • Asset Management
  • Investment Management
  • Art
  • Research
  • Analytics
  • Artificial Intelligence
  • MAS
  • Partnership
  • Sound Design
  • Software Development
  • Data Structure
  • Algorithms
  • Design Patterns
  • Python
  • Workflow
  • Emerging Technologies
  • Docker
  • Orchestration
  • Kubernetes
  • DevOps
  • Node.js
  • Java
  • Object-Oriented Programming
  • JavaScript Frameworks
  • AngularJS
  • React.js
  • HTML5
  • Cascading Style Sheets
  • RDBMS
  • Sybase
  • NoSQL
  • Database
  • MongoDB
  • FOCUS
  • Work Ethic
  • Communication
  • Collaboration
  • Machine Learning (ML)
  • Computational Finance
  • Finance
  • Strategic Thinking

Summary

Job Description

Multi-Asset Solutions (MAS) is a multi-asset class investment group that operates within the Asset Management Division at Goldman Sachs. It designs and develops comprehensive investment management solutions customized to meet the investment objectives and relevant constraints of clients. These solutions bring together state-of-the-art techniques for multi-asset and liability-hedging portfolio design and implementation and reflect proprietary research and analytics conducted by the MAS team. With investment professionals across the globe, MAS invests or advises on assets for some of the world's leading corporations, sovereign wealth funds, pension plans, governments, financial institutions, endowments, foundations, and family offices.

This position offers the opportunity to work on cutting-edge investment technology solutions that directly influence major institutional portfolios, providing unparalleled exposure to both advanced engineering practices and global financial markets.

Responsibilities
  • This role involves partnering with the MAS investment group and an energetic engineering team to build a portfolio construction and implementation platform that supports order generation across multiple asset classes.
  • Modernize the portfolio construction, implementation and data platform supporting the investment process.
  • Architect and deploy AI agents through cross-functional collaboration to drive measurable business outcomes.
  • Collaborate with MAS investment professionals to design, build, test, and enhance software features throughout the development lifecycle.
  • Develop new platform functionality from the ground up, aligning with firm principles and leveraging your creativity and technical expertise.
  • Work closely with stakeholders to iterate on designs and refine products for maximum commercial impact.
  • Integrate new tools and workflows into existing systems in partnership with other teams.
  • Take ownership of projects end-to-end, applying sound design and development practices.
  • Engage in a collaborative, customer-centric team environment focused on delivering impactful solutions.
  • 5-7 years of hands-on development experience (Node.js, Java, or full-stack) with exposure to the complete software development lifecycle.
  • Strong knowledge of data structures, algorithms, and design patterns.
  • Knowledge of Python, experience developing agentic workflows, and familiarity with other emerging technologies are a plus.
  • Experience with modern deployment practices(Containerization: Docker; Orchestration: Kubernetes) and DevOps practices is a plus.
  • Proficiency in Node.js, Java, or another object-oriented programming languages.
  • Experience with JavaScript frameworks such as Angular or React, and familiarity with HTML5 and CSS.
  • Relational database experience (e.g., Sybase, SingleStore) and/or NoSQL database experience (e.g., MongoDB).
  • Ability to maintain commercial focus and drive for quantifiable business impact.
  • Demonstrated strong work ethic, ownership, and a sense of urgency.
  • Excellent written and verbal communication skills, with the ability to collaborate with subject matter experts.

Skills & Experience
  • 5-7 years of hands-on development experience (Node.js, Java, or full-stack) with exposure to the complete software development lifecycle.
  • Strong knowledge of data structures, algorithms, and design patterns.
  • Knowledge of Python, experience developing agentic workflows, and familiarity with other emerging technologies are a plus.
  • Experience with modern deployment practices(Containerization: Docker; Orchestration: Kubernetes) and DevOps practices is a plus.
  • Proficiency in Node.js, Java, or another object-oriented programming languages.
  • Experience with JavaScript frameworks such as Angular or React, and familiarity with HTML5 and CSS.
  • Relational database experience (e.g., Sybase, SingleStore) and/or NoSQL database experience (e.g., MongoDB).
  • Ability to maintain commercial focus and drive for quantifiable business impact.
  • Demonstrated strong work ethic, ownership, and a sense of urgency.
  • Excellent written and verbal communication skills, with the ability to collaborate with subject matter experts.

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!

The Goldman Sachs Group, Inc., 2026. All rights reserved.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10121118
  • Position Id: e274ed960b35d40754eb70fe39160ca2
  • Posted 3 days ago
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