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Computer Science Finance Jobs in Utah (NOW HIRING)

Zions Bank

Applied AI Scientist

Midvale, UT · On-site

... financial institution. With a commitment to technology and innovation, we have been providing our ... Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus ...

Zions Bancorporation

Applied AI Scientist

Midvale, UT · On-site

... financial institution. With a commitment to technology and innovation, we have been providing our ... Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus ...

Enterprise Services

Applied AI Scientist

Midvale, UT · Hybrid

... financial institution. With a commitment to technology and innovation, we have been providing our ... Bachelors degree in Computer Science, Engineering, Statistics, Data Science or related field plus ...

Sedgwick

Principal Data Scientist

Salt Lake City, UT · On-site

Collaborate with Claims Operations, Finance, Risk, and IT stakeholders to identify high-impact ... Qualifications * Master's or PhD in Data Science, Statistics, Mathematics, Computer Science ...

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Computer Science Finance information

See Utah salary details

$22.8K

$84.3K

$123.4K

How much do computer science finance jobs pay per year?

As of Jul 3, 2026, the average yearly pay for computer science finance in Utah is $84,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,300.00 and $99,200.00 per year, depending on experience, location, and employer.

How is computer science used in finance?

Computer science in finance involves developing algorithms and software for trading, risk management, and data analysis. Professionals use programming languages like Python and tools such as machine learning models to optimize financial decision-making and automate processes.

What are the key skills and qualifications needed to thrive in Computer Science Finance, and why are they important?

To thrive in Computer Science Finance, you need strong analytical and programming skills, a solid understanding of financial concepts, and typically a degree in computer science, finance, or a related field. Familiarity with financial modeling tools, database management systems, and programming languages like Python, R, or SQL is highly valued, along with certifications such as CFA or FRM. Excellent problem-solving abilities, attention to detail, and effective communication are essential soft skills for collaborating with diverse teams and interpreting complex data. These skills are crucial for developing innovative financial solutions, ensuring data integrity, and driving informed decision-making in the fast-paced finance industry.

What is the difference between Computer Science Finance vs Data Analyst?

AspectComputer Science FinanceData Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related fields; certifications like CFA or FRM beneficialBachelor's in Statistics, Economics, or related fields; certifications like CAP or Microsoft Data Analyst
Work EnvironmentFinancial institutions, tech firms, investment banks; often collaborative and fast-pacedCorporate offices, consulting firms, financial services; data-driven and analytical
Employer & Industry UsageFinance, banking, fintech, tech companiesFinance, marketing, healthcare, consulting

Computer Science Finance professionals combine technical skills with financial knowledge to develop algorithms, models, and software for financial analysis and trading. Data Analysts focus on interpreting data to inform business decisions across various industries. While both roles require analytical skills, Computer Science Finance emphasizes programming and financial expertise, whereas Data Analysts concentrate on data interpretation and reporting.

What is computer science finance?

Computer science finance is an interdisciplinary field that combines principles of computer science with finance. Professionals in this area use technology and programming to analyze financial data, develop trading algorithms, manage risk, and optimize investment strategies. Careers in computer science finance often involve roles such as quantitative analyst, financial software developer, or data scientist for investment firms, banks, or fintech companies. This field requires skills in programming (often Python, R, or C++), data analysis, and a solid understanding of financial markets and instruments.

Is finance and computer science a good combo?

Computer Science Finance combines technical programming skills with financial knowledge, making it valuable in areas like quantitative analysis, algorithmic trading, and financial modeling. Professionals in this field often use tools like Python, R, and SQL, and benefit from certifications such as CFA or FRM to enhance career prospects.

Can you get a finance job with a computer science degree?

A computer science degree can qualify you for finance jobs such as quantitative analyst, financial software developer, or data analyst, especially if you have skills in programming, data analysis, and financial modeling. Many finance roles value technical expertise, coding skills, and knowledge of financial tools like Excel, SQL, or Python. Additional certifications like CFA or FRM can enhance prospects in finance positions requiring specialized financial knowledge.

Is computer science dead due to AI?

Computer science remains a vital field for roles such as software developers, data scientists, and AI specialists. AI advances create new opportunities for innovation, requiring skills in programming, algorithms, and machine learning tools, ensuring continued demand for computer science expertise.

How does a professional in Computer Science Finance typically collaborate with both technical and financial teams?

Professionals in Computer Science Finance often serve as a bridge between technology and finance departments, translating financial requirements into technical solutions. They might collaborate closely with software engineers to develop financial models or automation tools, and work with analysts or traders to understand market needs and ensure technical solutions align with business goals. Effective communication is key, as they regularly participate in cross-functional meetings, manage project timelines, and provide updates to both technical and non-technical stakeholders. This role requires adaptability and the ability to explain complex concepts in accessible terms.

What Are Finance Jobs for Computer Science Majors?

Finance jobs for computer science majors focus on the analysis of financial data, the development of finance technology (fintech) software and applications to analyze financial markets and automate equities trading, and the creation of algorithms for analysis, fraud detection, and risk management. As a data scientist or quantitative analyst, you perform your duties for an investment firm or bank. If you are a risk management analyst, you work for financial institutions or life insurance companies. A computer science major can also develop software and configure databases for finance businesses or have cybersecurity responsibilities that include protecting data and systems from hackers.

More about Computer Science Finance jobs
What are popular job titles related to Computer Science Finance jobs in Utah? For Computer Science Finance jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Computer Science Finance jobs in Utah look for? The top searched job categories for Computer Science Finance jobs in Utah are:
Computer Science Finance jobs near you
Senior Full Stack Engineer

Senior Full Stack Engineer

Fidelity Investments

Salt Lake City, UT • On-site

Full-time

Posted 9 days ago

Fidelity Investments rating

8.7

Company rating: 8.7 out of 10

Based on 266 frontline employees who took The Breakroom Quiz

16th of 146 rated financial services

Job description


Position Description:
Builds APIs and Digital capabilities that support Fidelity's large scale digital presence. Designs and develop re-usable APIs that focus on customer experience needs and optimize quality and deployment practices. Develops data structures, and design patterns and builds highly scalable software systems using Java Web Services and API solutions. Implements Service Oriented Architecture (SOA), and builds RESTful services, XML/JSON, and modern Application Servers. Designs and develops microservices through the use of programming languages and frameworks such as Java, J2EE, Spring MVC, Spring Core and JavaScript. Develops DevOps, Continuous Integration and Delivery tools like Jenkins, Maven, uDeploy, Stash and Docker. Develops highly scalable distributed systems using Open source technologies. Develops web application using JSP, HTML, CSS/SASS, JQuery, Angular and NodeJS.
Primary Responsibilities:
  • Develops original and creative technical solutions to on-going development efforts.

  • Designs applications or subsystems on major projects and for/in multiple platforms.

  • Develops applications for multiple projects supporting several divisional initiatives.

  • Supports and performs all phases of testing leading to implementation.

  • Assists in the planning and conducting of user acceptance testing.

  • Develops comprehensive documentation for multiple applications supporting several corporate initiatives.

  • Responsible for post-installation testing of any problems.

  • Establishes project plans for projects of moderate scope.

  • Works on complex assignments and often multiple phases of a project.

  • Performs independent and complex technical and functional analysis for multiple projects supporting several initiatives.

Education and Experience:
Bachelor's degree in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and three (3) years of experience as a Senior Full Stack Engineer (or closely related occupation) designing and developing highly transactional full stack multi-tier architectures in a financial services environment, using Angular, J2EE technologies (Java, Spring, REST APIs and Swagger), and RESTful Web services.
Or, alternatively, Master's degree in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, or a closely related field (or foreign education equivalent) and one (1) year of experience as a Senior Full Stack Engineer (or closely related occupation) designing and developing highly transactional full stack multi-tier architectures in a financial services environment, using Angular, J2EE technologies (Java, Spring, REST APIs and Swagger), and RESTful Web services.
Skills and Knowledge:
Candidate must also possess:
  • Demonstrated Expertise ("DE") designing and developing full stack Java-based multi-tier architectures, using SpringBoot, RESTful Web services, Oracle/ PostgreSQL Stored procedures, Messaging services (JMS or Apache Kafka), Groovy, and Camunda/BPMN.

  • DE designing and implementing on-premises and Cloud based self-service Java Web applications according to business requirements and architecture standards, using AWS Cloud based solution architecture, REST and SOAP APIs, and Swagger; developing Web API application features and performing end to end testing, using Junit, Mockito, TestNG, and Cucumber; and performing secure code analysis using SonarQube.

  • DE designing, developing, maintaining, and enhancing front-end applications using Angular18+, TypeScript, NodeJS, and DevOps tools (Git, Jenkins, and uDeploy), according to Agile software methodologies (Kanban and Scrum).

  • DE driving and implementing Continuous Integration/Continuous Deployment (CI/CD) pipelines to automate the build and deployment of Java-based microservices and Angular front ends, using Jenkins and GitHub; managing configurations using uDeploy; and monitoring logs and system metrics with Splunk and Datadog.

#PE1M2
#LI-DNI
Certifications:
Category:
Information Technology
Please be advised that Fidelity's business is governed by the provisions of the Securities Exchange Act of 1934, the Investment Advisers Act of 1940, the Investment Company Act of 1940, ERISA, numerous state laws governing securities, investment and retirement-related financial activities and the rules and regulations of numerous self-regulatory organizations, including FINRA, among others. Those laws and regulations may restrict Fidelity from hiring and/or associating with individuals with certain Criminal Histories.

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