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Financial Engineering Jobs in Utah (NOW HIRING)

Pattern

Senior Financial Systems Engineer

Lehi, UT · Hybrid

We need a Senior Financial Systems Engineer to take ownership of our financial data ecosystem. As we continue to grow, we are needing to further develop and design our data infrastructure to ensure ...

Pattern

Senior Financial Systems Engineer

Lehi, UT · On-site

We need a Senior Financial Systems Engineer to take ownership of our financial data ecosystem. As we continue to grow, we are needing to further develop and design our data infrastructure to ensure ...

Pattern

Senior Financial Systems Engineer

Lehi, UT · Hybrid

We need a Senior Financial Systems Engineer to take ownership of our financial data ecosystem. As we continue to grow, we are needing to further develop and design our data infrastructure to ensure ...

JobNimbus

Principal Software Engineer - FinTech

Lehi, UT · On-site

$126K - $169K/yr

You will serve as the premier technical authority, bridging the gap between complex financial engineering and company-wide strategic objectives. What You'll Be Doing: * Set the Architectural Vision:

JobNimbus

Principal Software Engineer - FinTech

Lehi, UT · On-site

$126K - $169K/yr

You will serve as the premier technical authority, bridging the gap between complex financial engineering and company-wide strategic objectives. What You'll Be Doing: * Set the Architectural Vision:

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Financial Engineering information

See Utah salary details

$69.2K

$100.9K

$123.8K

How much do financial engineering jobs pay per year?

As of Jul 5, 2026, the average yearly pay for financial engineering in Utah is $100,880.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $113,300.00 per year, depending on experience, location, and employer.

What is the difference between Financial Engineering vs Quantitative Analyst?

AspectFinancial EngineeringQuantitative Analyst
Required CredentialsDegree in Financial Engineering, Mathematics, or related fields; often certifications like CQFDegree in Finance, Mathematics, or Statistics; certifications like CFA or CQF are common
Work EnvironmentFinancial institutions, hedge funds, investment banks; focus on product development and risk managementTrading desks, asset management firms; focus on data analysis and model development
Employer & Industry UsageUsed in risk management, derivatives pricing, and structured productsUsed in trading strategies, portfolio management, and risk assessment

Financial Engineering and Quantitative Analysts often share similar educational backgrounds and work in related financial sectors. While Financial Engineers focus on creating financial products and managing risks through complex models, Quantitative Analysts primarily analyze data to inform trading and investment decisions. Both roles require strong quantitative skills and often overlap in financial institutions.

What is financial engineering?

Financial engineering is the application of mathematical techniques, computer science, and statistical methods to solve problems and create innovative solutions in finance. Professionals in this field develop new financial products, manage risk, and optimize investment strategies using quantitative models. Financial engineers often work in banks, investment firms, hedge funds, or financial technology companies, helping organizations manage complex financial systems and products. The discipline combines finance, mathematics, statistics, and programming to address challenges in areas like derivatives pricing, risk management, and portfolio optimization.

What engineering jobs pay $500,000?

In financial engineering, senior roles such as Quantitative Research Directors, Chief Risk Officers, and senior quantitative analysts can earn $500,000 or more annually, especially with bonuses and profit sharing. These positions typically require advanced degrees, strong programming skills, and extensive experience in financial modeling and risk management.

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

To thrive as a Financial Engineer, you need a strong background in quantitative analysis, mathematics, programming, and finance, typically supported by a relevant degree such as financial engineering, mathematics, or computer science. Expertise in programming languages like Python, R, or C++, as well as familiarity with financial modeling software and risk management systems, is essential. Strong problem-solving, analytical thinking, and communication skills set top performers apart in this role. These skills are crucial for designing innovative financial products, managing complex risks, and translating quantitative insights into actionable business strategies.

What engineers make $300,000 a year?

In the field of financial engineering, professionals such as quantitative analysts, derivatives traders, and risk managers can earn $300,000 or more annually, especially with experience, advanced degrees, and proficiency in programming languages like Python or C++. These roles often require strong mathematical skills, knowledge of financial markets, and sometimes certifications like CFA or FRM.

What are some common challenges faced by financial engineers when implementing quantitative models in real-world financial institutions?

Financial engineers often encounter challenges such as aligning complex quantitative models with existing IT infrastructure and ensuring the models comply with regulatory requirements. Additionally, translating theoretical models into practical, scalable solutions that can handle large volumes of real-time data requires close collaboration with software developers and risk managers. Effective communication with non-technical stakeholders is also crucial, as financial engineers must explain model assumptions and results to decision-makers from diverse backgrounds.

What engineers make $200,000 a year?

In the field of financial engineering, professionals such as quantitative analysts and risk managers often earn $200,000 or more annually, especially with experience, advanced degrees, and proficiency in programming languages like Python or C++. Senior roles in investment banks, hedge funds, and financial technology firms typically offer compensation at or above this level, often including bonuses and incentives.

What is the work of a financial engineer?

A financial engineer develops mathematical models and uses quantitative techniques to analyze and manage financial risks, design trading strategies, and create financial products. They often work with programming tools like Python or C++ and require strong skills in mathematics, finance, and computer science. Their work supports decision-making in investment banks, hedge funds, and financial institutions.
What are the most commonly searched types of Financial Engineering jobs in Utah? The most popular types of Financial Engineering jobs in Utah are:
What are popular job titles related to Financial Engineering jobs in Utah? For Financial Engineering jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Financial Engineering jobs in Utah look for? The top searched job categories for Financial Engineering jobs in Utah are:
Financial Engineering jobs near you
Engineering-Salt Lake City-Associate, Quantitative Engineering-046336

Engineering-Salt Lake City-Associate, Quantitative Engineering-046336

Goldman Sachs

Salt Lake City, UT • On-site

Other

Posted 9 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

Job Duties: 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. Analyze large data sets (structured and unstructured) to build predictive models of business-relevant market variables. Develop, refine, and improve scenarios by leveraging knowledge in financial markets, economics, current events, statistical analysis, and programming. Build and challenge risk models, identify and quantify vulnerabilities across market, credit, liquidity risk and modeling. Create and maintain clear and complete technical documentation of the risk-model performance testing approach and process.

Job Requirements: 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. 

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

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