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Quant Engineer Jobs in Utah (NOW HIRING)

Data Engineer

Lehi, UT · On-site

$107K - $129K/yr

Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer * Expert-level ...

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer * Expert-level ...

Data Engineer

Lehi, UT · On-site +1

$107K - $129K/yr

Bachelor's degree in quantitative and/or technical fields (Math, Physics, Statistics, Economics, Computer Science, Engineering, etc.) OR 5+ years work experience as a Data Engineer * Expert-level ...

The Associate Project Engineer role serves as a launching pad for future leaders within PCI. It's a ... Quantitative takeoffs for material ordering * Supporting the implementation of the job schedule

The Associate Project Engineer role serves as a launching pad for future leaders within PCI. It's a ... Quantitative takeoffs for material ordering * Supporting the implementation of the job schedule

Performance Contracting is seeking an experienced Project Engineer for its PCI Salt Lake City ... Quantitative takeoffs to verify estimates, order materials, and price change orders * Create and ...

Performance Contracting is seeking an experienced Project Engineer for its PCI Salt Lake City ... Quantitative takeoffs to verify estimates, order materials, and price change orders * Create and ...

Simulation Engineer

Salt Lake City, UT · On-site +1

$65K - $140K/yr

Dematic is hiring a Simulation Engineer for one of our hubs-Grand Rapids (MI), Atlanta (GA), Plano ... Ability to apply statistical and quantitative analysis to simulation problems. * Experience with ...

Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field * 2+ years of hands-on experience in data science, machine learning engineering, or applied ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Develops and designs functional programming, emerging technologies, and messaging frameworks, using ... Leverages quantitative, statistics, and econometrics (including probability, linear regression ...

Senior Data Engineer

Salt Lake City, UT · On-site

$102K - $139K/yr

Develops and designs functional programming, emerging technologies, and messaging frameworks, using ... Leverages quantitative, statistics, and econometrics (including probability, linear regression ...

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Showing results 1-20

Quant Engineer information

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

To thrive as a Quant Engineer, you need strong quantitative and programming skills, typically supported by a degree in mathematics, physics, computer science, or a related field. Proficiency in programming languages such as Python, C++, or Java, as well as familiarity with statistical analysis tools and financial modeling systems, is essential. Analytical thinking, problem-solving abilities, and effective communication distinguish top performers in this role. These skills enable Quant Engineers to develop robust models and algorithms that drive accurate trading strategies and risk management in fast-paced financial environments.

What do quant engineers do?

Quant engineers develop and implement mathematical models and algorithms to analyze financial data and support trading strategies. They often use programming languages like Python or C++ and work closely with traders and analysts in a fast-paced environment to optimize investment decisions.

What jobs pay 500,000 a year in the US?

Quant engineers in finance and hedge funds are among the roles that can earn $500,000 or more annually, especially with bonuses and profit sharing. High-level positions often require advanced degrees, strong quantitative skills, and experience with programming languages like Python or C++, as well as a deep understanding of financial markets and risk management.

What are Quant Engineers?

Quant Engineers, or quantitative engineers, are professionals who apply mathematical models, statistical techniques, and computer programming to solve complex problems in finance and related industries. They often work on designing trading algorithms, risk management tools, and pricing models for financial instruments. Quant Engineers typically have strong backgrounds in mathematics, computer science, and finance, and are skilled in programming languages such as Python, C++, or R. Their work helps financial firms make data-driven decisions and optimize strategies in highly competitive markets.

What jobs make $1,000,000 a year?

Quant engineers in finance and hedge fund managers are among the roles that can earn $1,000,000 or more annually, often through a combination of base salary, bonuses, and profit sharing. High-level positions in investment banking, private equity, and executive roles in large corporations can also reach this income level, especially with extensive experience, advanced skills, and performance-based incentives.

What is the difference between Quant Engineer vs Quant Analyst?

AspectQuant EngineerQuant Analyst
Required CredentialsDegree in Math, Finance, or Computer Science; often requires programming skillsDegree in Finance, Economics, or Math; less emphasis on programming
Work EnvironmentDevelops models, algorithms, and software tools for trading and risk managementAnalyzes data, interprets models, and provides insights for trading strategies
Employer & Industry UsageFinancial firms, hedge funds, investment banksFinancial firms, asset management, hedge funds

While both roles involve quantitative analysis, Quant Engineers focus on building and implementing models and software, whereas Quant Analysts primarily analyze data and interpret models to inform trading decisions. The roles often overlap but differ in technical depth and responsibilities.

How do Quant Engineers typically collaborate with traders and other team members to develop and implement trading strategies?

Quant Engineers work closely with traders, researchers, and software developers to design, test, and refine quantitative trading models. They often translate mathematical models into efficient code, analyze large datasets, and ensure strategies are both robust and scalable for real-time trading environments. Frequent communication is key, as Quant Engineers must gather requirements from traders, iteratively backtest ideas, and adapt models based on feedback and market changes. This collaborative process helps ensure strategies are both scientifically sound and practically viable for deployment.

What engineers make $500,000?

Senior quantitative engineers, especially those working in hedge funds, investment banks, or proprietary trading firms, can earn $500,000 or more annually. High compensation often includes base salary, bonuses, and profit sharing, and typically requires advanced skills in mathematics, programming, and financial modeling. Experience, performance, and the ability to develop profitable trading algorithms are key factors for reaching this level.
What are popular job titles related to Quant Engineer jobs in Utah? For Quant Engineer jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Quant Engineer jobs? Cities in Utah with the most Quant Engineer job openings:
Associate, Quantitative Engineering

Associate, Quantitative Engineering

Goldman Sachs & Co. LLC

Salt Lake City, UT

Other

Posted 3 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


Job description

Associate, Quantitative Engineering with Goldman Sachs & Co. LLC in Salt Lake City, Utah. Multiple positions available.

Develop, implement, and document scenarios comprised of a broad range of economic and financial variables for businesses within the Firm. Collaborate with internal stakeholders, analyzing user needs from a scenario design perspective and addressing data, model, and implementation issues. Requires: Master’s degree (U.S.

or foreign equivalent) in Computer Science/Engineering, Financial Engineering, Mathematical Finance, Applied Mathematics, Data Science, Operations Research or related quantitative field and one (1) year of experience in job offered or a related quantitative engineering role OR Bachelor’s degree (U.S. or foreign equivalent) in Computer Science/Engineering, Financial Engineering, Mathematical Finance, Applied Mathematics, Data Science, Operations Research or related quantitative field and two (2) years of experience in job offered or a related quantitative engineering role. Prior experience must include one (1) year of experience (with a Master’s degree) OR two (2) years of experience (with a Bachelor’s degree) with 5 of the 7 following skills: C++, Java, or Python; developing probability and pricing models utilizing financial mathematics principles, including stochastic calculus, no-arbitrage pricing theory, partial differential equations, multivariable calculus, linear algebra, numerical methods, optimization, probability, or random processes; quantitative analysis and model development using advanced econometric, statistical, and mathematical techniques, including Bayesian analysis, time series analysis, or machine learning algorithms; performing risk management or scenario-based analysis; developing quantitative risk analytics, including factor models; developing rigorous and scalable data management and analysis tools to provide risk oversight and support the investment process; and statistics and data driven performance analysis, including Linear Regression or Time Series Analysis to measure performance.

Job Code: 046336 QUALIFIED APPLICANTS: Apply at gs.com and click on "Careers." NO PHONE CALLS PLEASE. ©The Goldman Sachs Group, Inc., 2026. All rights reserved.

Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.


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About Goldman Sachs

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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