Quant Engineer Jobs in Utah (NOW HIRING)

About Asset & Wealth Management 

Bringing together traditional and alternative investments, we provide clients around the world with a dedicated partnership and focus on long-term performance. As the firm's primary investment area, we provide investment and advisory services for some of the world's leading pension plans, sovereign wealth funds, insurance companies, endowments, foundations, financial advisors and individuals, for which we oversee more than $2 trillion in assets under supervision. 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. We are:

• Investors, spanning traditional and alternative markets offering products and services
• Advisors, understanding our clients' priorities and poised to help provide investment advice and strategies that make sense for their portfolios
• Thought Leaders, providing timely insights across macro and secular themes to help inform our clients' investment decisions
• Innovators, using our suite of digital solutions to help our clients address complex challenges and meet their financial goals

The Team

Our mission is to empower portfolio managers and quantitative researchers by delivering a unified, high-performance environment that supports every stage of the investment lifecycle, from factor research to model development, backtesting, and production deployment. As a member of this team, you will help design and implement the shared infrastructure, libraries, and tooling that powers our Fixed Income trading business. The systems you build will serve as the backbone for scalable innovation, enabling cross-team collaboration, standardization, and faster iteration in a secure, compliant, and cloud-native environment.

Your Impact as a Software Engineer

Within Goldman Sachs Asset Management, software engineers are at the heart of our platform, building scalable systems, designing robust frameworks, and delivering high-quality software that drives our business. Working in close collaboration with quantitative researchers and portfolio managers, software engineers enable critical capabilities across our asset management business. As a member of our engineering team, you will bring strong design and development experience to create modern, resilient, and data-driven systems.

Who We Look for

We are interested in individuals who are passionate about engineering, motivated by solving complex problems, and inspired by building systems that scale. You should be comfortable navigating modern data platforms, cloud technologies, and DevOps practices.

Responsibilities

• Build, maintain and improve upon existing software to run our trading platform.
• Aid in the migration from legacy software tools to a modern technology stack
• Partner with strategists, portfolio managers and traders to deliver tools that enable automation, and improve operational efficiency
• Implement DevOps best practices including CI/CD, infrastructure as code, observability, and automated testing to ensure reliability and scalability of systems
• Participate in code reviews, design discussions, and technical architecture decisions
• Contribute to the technical direction of engineering projects, ensuring maintainability, security, and performance

Required Qualifications

• Bachelor's or advanced degree in Computer Science, Engineering, Mathematics, Physics, or a related technical field
• Proficiency in at least one programming language (Java, Scala, Python, etc.) and proven experience in production software development life cycle (SDLC)
• Familiarity with both SQL and NoSQL databases
• Understanding of DevOps principles, including containerization, CI/CD workflows, and infrastructure automation
• Familiarity with data modeling, ETL pipelines, and data governance concepts
• Excellent communication skills with the ability to explain technical concepts to audiences with varying levels of expertise
• The ability to learn quickly and work independently

Good-To-Haves

• Experience with Cloud platforms (AWS/GCP)
• Experience with the Spring Framework