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Quantitative Software Engineer Jobs in Utah (NOW HIRING)

... estimating/engineering support directly interfacing with program offices and assisting the ... Excellent verbal communication, written, and quantitative analytical skills in data science ...

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Identify impactful opportunities using quantitative and qualitative data * Work with a cross-functional team of designers, writers, software engineers, data scientists, quality assurance engineers ...

The financial industry is growing at a record pace, but the software powering it is often difficult ... Our team brings former experience at the world's leading quantitative firms, including Two Sigma ...

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The Customer Service Engineer serves as primary customer contact on technical and service-related ... Diagnoses electronic, mechanical, software and system failures, using established procedures ...

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The Customer Service Engineer serves as primary customer contact on technical and service-related ... Diagnoses electronic, mechanical, software and system failures, using established procedures ...

The Customer Service Engineer serves as primary customer contact on technical and service-related ... Diagnoses electronic, mechanical, software and system failures, using established procedures ...

The Customer Service Engineer serves as primary customer contact on technical and service-related ... Diagnoses electronic, mechanical, software and system failures, using established procedures ...

The Customer Service Engineer serves as primary customer contact on technical and service-related ... Diagnoses electronic, mechanical, software and system failures, using established procedures ...

Apply Early

The Customer Service Engineer serves as primary customer contact on technical and service-related ... Diagnoses electronic, mechanical, software and system failures, using established procedures ...

Apply Early

The Customer Service Engineer serves as primary customer contact on technical and service-related ... Diagnoses electronic, mechanical, software and system failures, using established procedures ...

... engineering, and quantitative analysis coursework, 15 or more years of cost analysis experience , and familiarity with Department of Defense data sources (e.g., Cost and Software Data Reporting (CSDR ...

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Quantitative Software Engineer information

See Utah salary details

$10K

$118K

$180.3K

How much do quantitative software engineer jobs pay per year?

As of Jul 3, 2026, the average yearly pay for quantitative software engineer in Utah is $118,044.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $126,100.00 per year, depending on experience, location, and employer.

What is the difference between Quantitative Software Engineer vs Quantitative Analyst?

AspectQuantitative Software EngineerQuantitative Analyst
CredentialsDegree in Computer Science, Software Engineering, or related field; coding skillsDegree in Finance, Economics, or Mathematics; strong analytical skills
Work EnvironmentDevelops trading algorithms, software tools, and infrastructureBuilds financial models, analyzes market data, and advises on investment strategies
Industry UsageTechnology-driven financial firms, hedge funds, trading firmsInvestment banks, asset management firms, hedge funds

While both roles involve quantitative skills, Quantitative Software Engineers focus on developing software systems and tools used in trading and risk management, whereas Quantitative Analysts primarily analyze data and develop models to inform investment decisions. The roles often collaborate but differ in technical focus and daily tasks.

What are Quantitative Software Engineers?

Quantitative Software Engineers are professionals who design, develop, and maintain software systems for quantitative analysis, often in finance, trading, or research environments. They combine expertise in mathematics, statistics, and computer science to build models and algorithms that analyze large data sets, optimize trading strategies, or automate decision-making processes. Their work involves close collaboration with quantitative analysts (quants) and requires strong programming skills, typically in languages like Python, C++, or Java. The role is key in ensuring that quantitative models are efficiently implemented and scalable for real-world applications.

What are the key skills and qualifications needed to thrive as a Quantitative Software Engineer, and why are they important?

To thrive as a Quantitative Software Engineer, you need a strong background in mathematics, statistics, computer science, and programming languages such as Python, C++, or Java, typically supported by a relevant degree. Proficiency with data analysis tools, quantitative libraries, and version control systems like Git is essential, and knowledge of financial modeling or algorithmic trading platforms is often required. Strong problem-solving abilities, attention to detail, and effective teamwork distinguish top performers in this field. These skills are crucial for building robust, efficient systems that support data-driven decision-making in high-stakes environments.

What Does a Quantitative Software Engineer Do?

As a quantitative software engineer, your responsibilities are to design and build tools to develop a platform for clients for the purpose of enhancing various processes they have. To achieve this, you apply advanced analytics and concepts to develop system solutions. Your duties also include researching the computer-software development lifecycle and modeling new products to supplement the software. You assist clients with the quality and timeliness of research, analysis, and development while focusing on best practices. In this role, you typically work with your team and the client to develop, validate, and implement product and software solutions.

How does a Quantitative Software Engineer typically collaborate with researchers and traders in a financial firm?

Quantitative Software Engineers work closely with quantitative researchers and traders to design, implement, and optimize trading algorithms and analytics tools. They often translate research prototypes into robust, production-ready code, ensuring that strategies can be executed efficiently and reliably in real market conditions. Regular collaboration involves participating in cross-functional meetings, gathering requirements, and providing technical feedback to improve both performance and usability of systems. This collaborative environment helps ensure that trading strategies are not only innovative but also technically sound and scalable.
What are popular job titles related to Quantitative Software Engineer jobs in Utah? For Quantitative Software Engineer jobs in Utah, the most frequently searched job titles are:
What are popular job titles related to Quantitative Software Engineer jobs in UT? For Quantitative Software Engineer jobs in UT, the most frequently searched job titles are:
Infographic showing various Quantitative Software Engineer job openings in Utah as of June 2026, with employment types broken down into 1% Internship, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 74% Physical, 5% Hybrid, and 21% Remote job distribution, with an average salary of $118,044 per year, or $56.8 per hour.
Engineering-Associate-Foundation Engineering Product Management-Operations

Engineering-Associate-Foundation Engineering Product Management-Operations

Goldman Sachs

Salt Lake City, UT • On-site

Other

Posted 2 days ago


Goldman Sachs rating

8.2

Company rating: 8.2 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

39th of 144 rated banks


Job description

Associate - Foundation Engineering Product Management - Operations 

Engineering Division 

The Engineering Organization is the largest employee group at the firm and includes the Engineering Division and technology and strategist groups embedded in the revenue and federation divisions. Our engineers envision, build and deploy industry-leading innovations that drive our businesses and provide innovative technical and quantitative solutions for our clients. 

About the Team 

Foundation Engineering, a part of the Engineering Division, is responsible for delivering engineering excellence through reliable, resilient systems, platforms and infrastructure that enable how Goldman Sachs builds, operates, and scales its technology Products in support of the firm and our clients. 

The Product Operations team within Foundation Engineering is dedicated to optimizing processes, delivering insights, and providing tooling, governance, and frameworks to ensure Product Managers are working effectively and efficiently at scale. Join our team and help us further our mission to Transform how our organizations operate, collaborating alongside Product, Engineering, and our Business Partners as we enable AI-embedded workflows, modernize our Insight Intelligence, and drive Product excellence while continuously delivering on Customer's most important needs. 

Role Overview 

We are seeking a highly organized, analytical, and collaborative Associate to join our Foundation Engineering Product Management - Operations team. 

In this role, you will serve as the operational backbone of the product team. You will help streamline product development processes, improve cross-functional communication, manage product analytics, and ensure our Product teams have the tools and data they need to build high-quality foundational products efficiently. 

This role offers strong exposure to senior leadership, the Product Management community, with opportunities to lead initiatives, influence stakeholders, and help shape how Product executes on behalf of Engineering strategy. 

Qualifications & Skills 

  • Experience: Bachelor's degree in computer science, Business, Finance, Engineering, or related discipline. 2-5 years' experience in Product Management, Operations, Change Management, or Project/Program Management roles in a fast-paced, technology-driven environment.
  • Communication: Exceptional written and verbal communication skills, with a proven ability to synthesize and translate complex technical information into clear, actionable insights understood by cross-functional stakeholders. 
  • Proven Execution: Demonstrated ability to operate with an execution mindset and take ownership of deliverables end-to-end. Ability to manage multiple projects at once, often operating in ambiguous environments with evolving requirements and processes. 
  • Analytical Mindset: Strong analytical and problem-solving skills with exceptional attention to detail. Experience working with data, dashboards, and reporting, with a focus on accuracy, consistency, and insight generation. 
  • Team Oriented: Ability to contribute to and grow within a team focused on improving execution, reporting, and decision making. Proactively identifies risks, gaps, and inefficiencies, while also contributing to solutions. 
  • AI Literacy & Productivity: Hands on experience leveraging generative AI tools to automate everyday tasks. Experience using AI-powered integrations or low-code/no-code automation tooling. 
  • Technical Familiarity: Basic understanding or interest in Product Management, Software Development, and/or emerging technologies, including AI or workflow automation solutions preferred. You do not need to write code, but you must be comfortable discussing technical concepts across stakeholder groups. 
  • Tooling Expertise: Hands on 

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About Goldman Sachs

Sourced by ZipRecruiter

At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1869