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Quantitative Modeling Analyst Jobs in Utah (NOW HIRING)

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Data Analyst - IC 2

Salt Lake City, UT · On-site

Translate complex model results into clear business insights and recommendations. * Develop and ... in a quantitative field. * Experience with SQL to extract and manipulate large datasets.

Tecolote Research

Senior Cost Analyst

UT · On-site

$76K - $97K/yr

... and model development, cost risk analysis, performance measurement (earned value), project ... We are seeking individuals with excellent quantitative and analytical skills for senior level cost ...

PACS

Senior DataBI Analyst

Salt Lake City, UT · On-site

$83K - $105K/yr

... models that support accurate, consistent reporting across the business. • Build and maintain ... Preferred : • Bachelor's degree in a quantitative or technical field preferred. Company : PACS is ...

Energy Exemplar

FP&A Analyst

Salt Lake City, UT · On-site

Strong analytical and quantitative problem-solving skills. * Advanced Excel skills, including financial modeling and data analysis. * Comfortable working with large datasets and multiple business ...

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Quantitative Modeling Analyst information

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$51.4K

$121.9K

$218.5K

How much do quantitative modeling analyst jobs pay per year?

As of Aug 7, 2026, the average yearly pay for quantitative modeling analyst in Utah is $121,878.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $132,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a quantitative modeling analyst?

To thrive as a Quantitative Modeling Analyst, you need strong quantitative skills, a background in mathematics, statistics, or finance, and typically a relevant degree such as in mathematics, statistics, economics, or engineering. Proficiency with data analysis tools and programming languages like Python, R, MATLAB, and experience with statistical modeling software are commonly required. Analytical thinking, attention to detail, and effective communication skills help you stand out in translating complex data into actionable insights. These skills are crucial for accurately building models, interpreting results, and supporting data-driven decision-making in finance or business environments.

What are some of the typical challenges quantitative modeling analysts face when collaborating with cross-functional teams?

Quantitative Modeling Analysts often work closely with teams from finance, IT, and business operations, which can present challenges such as communicating complex mathematical concepts to non-technical stakeholders and aligning model outputs with business objectives. Bridging the gap between technical model development and practical business application requires strong communication and collaboration skills. Additionally, analysts may need to adapt their models based on feedback from these teams, ensuring solutions are both accurate and actionable within operational constraints.

What is the difference between Quantitative Modeling Analyst vs Quantitative Analyst?

AspectQuantitative Modeling AnalystQuantitative Analyst
Required CredentialsDegree in Finance, Mathematics, or related field; often certifications like CFA or CQFSimilar credentials; often holds advanced degrees and certifications
Work EnvironmentFinancial institutions, hedge funds, asset management firmsFinancial firms, investment banks, asset managers
Primary FocusDeveloping and maintaining complex financial modelsAnalyzing data to inform investment decisions and risk management
Common UsageUsed when emphasizing model development and quantitative techniquesUsed for broader data analysis and investment strategy

While both roles require strong quantitative skills and similar credentials, the Quantitative Modeling Analyst primarily focuses on building and refining financial models, whereas the Quantitative Analyst often handles data analysis to support investment decisions. The roles overlap but differ in their core responsibilities within financial organizations.

What does a quantitative modeling analyst do?

A Quantitative Modeling Analyst uses mathematical models and statistical techniques to analyze data and solve complex problems in fields like finance, risk management, and business strategy. They develop and validate models to forecast outcomes, assess risks, and support decision-making. Their work often involves programming, data analysis, and collaborating with other teams to interpret results and improve business performance.
What are popular job titles related to Quantitative Modeling Analyst jobs in Utah? For Quantitative Modeling Analyst jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Quantitative Modeling Analyst jobs in Utah look for? The top searched job categories for Quantitative Modeling Analyst jobs in Utah are:
Quantitative Modeling Analyst jobs near you
Infographic showing various Quantitative Modeling Analyst job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,878 per year, or $58.6 per hour.

PS Research Assistant/Analyst

University of Utah

Salt Lake City, UT • On-site

Full-time

Retirement

This job post has expired today. Applications are no longer accepted.

University Of Utah rating

7.2

Company rating: 7.2 out of 10

Based on 159 frontline employees who took The Breakroom Quiz

384th of 616 rated colleges and universities

Job description

Details
Open Date 04/20/2026 Requisition Number PRN44755B Job Title PS Research Assistant/Analyst Working Title PS Research Assistant/Analyst Career Progression Track C Track Level FLSA Code Nonexempt Patient Sensitive Job Code? Yes Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary
Monday through Friday 8:00 am to 5:00 pm
VP Area U of U Health - Academics Department 00232 - General Internal Medicine Location Campus City Salt Lake City, UT Type of Recruitment External Posting Pay Rate Range 12.02 to 21.63 Close Date 08/01/2026 Priority Review Date (Note - Posting may close at any time) 05/15/2026 Job Summary
Research analyst role for healthcare machine learning (ML) and artificial intelligence (AI) research. Primary roles include but are not limited to: (1) Data gathering, cleaning, and analysis of healthcare data from local and national databases to build ML and AI models for healthcare; (2) Implementation of real-world AI applications for clinical use, including within the electronic health record; (3) Data visualization with report and manuscript preparation.
Qualifications Requirements: Bachelor's degree or higher. At least one year of experience in research and analytical techniques; demonstrated statistical and quantitative analysis experience; at least one year of experience with Python programming language; and demonstrated effective communication skills and teamwork required.
Gathers, organizes and analyzes data through interviews, literature searches, medical record reviews and related non-lab methods for use in studies, publications and other research related uses.
Responsibilities
The candidate will be responsible for applying ML and AI methods for the analysis of health-related data. This includes (1) collecting and compiling data from a variety of sources, including the electronic health record, local data sources, and national databases; (2) developing and training ML/AI models for built on modern cloud platforms including generative and predictive AI systems, agentic models, and healthcare-based operational tools; (3) creating multimodal data environments and supporting infrastructure for secure real-world AI application deployment, including application hosting, web services, and mobile applications. The candidate will participate as part of a larger research team to analyze key outcomes in medical diagnostics and treatment, hospital operations, and healthcare administration. Work Environment and Level of Frequency that may be required
Nearly Continuously: Office environment. Physical Requirements and Level of Frequency that may be required Nearly Continuously: Sitting, hearing, listening, talking. Often: Repetitive hand motion (such as typing), walking. Seldom: Bending, reaching overhead.

Collects and compiles data from a variety of sources; may enter data into a PC or computer terminal. Statistically analyzes data to include calculating the mean, median, and standard deviation, plotting scatter grams and performing multiple regression analysis in addition to other statistical computations. May edit research papers, project reports, proposals and curriculum materials prior to publication or presentation. Prepares format for final disposition of data; maintains an internal library on project information resources and final data collected. May work with research personnel in the design and preparation of research projects and in recording data.

Minimum Qualifications
Bachelor's degree in a Social or Behavioral Science, Liberal Arts, or a field related to the area of research, or equivalency (one year of education can be substituted for two years of related work experience); one year of experience in research and analytical techniques; demonstrated statistical and quantitative analysis experience; and demonstrated human relation and effective communication skills required.
This position is patient-sensitive and must fulfill all associated requirements. We protect our patients, coworkers and community by requiring all patient-sensitive employees to be immunized according to CDC standards and hospital policy. Limited exemptions may be made for documented medical contraindications or religious beliefs that object to vaccinations.
Preferences
Preferred Qualifications: A Master's or Doctoral Degree related to data science or health analytics is preferred. Experience with large language models, ML/AI architectures (e.g., deep learning, GBM, RF), and Epic-related integration (e.g., Clarity, Caboodle, SlicerDicer, FHIR, HL7) is highly favored. Familiarity with biostatistics is preferred but not required. This position is patient-sensitive and must fulfill all associated requirements. We protect our patients, coworkers and community by requiring all patient-sensitive employees to be immunized according to CDC standards and hospital policy. Limited exemptions may be made for documented medical contraindications or religious beliefs that object to vaccinations.
Type Benefited Staff Special Instructions Summary Additional Information

The University is a participating employer with Utah Retirement Systems ("URS"). Eligible new hires with prior URS service, may elect to enroll in URS if they make the election before they become eligible for retirement (usually the first day of work). Contact Human Resources at (801) 581-7447 for information. Individuals who previously retired and are receiving monthly retirement benefits from URS are subject to URS' post-retirement rules and restrictions. Please contact Utah Retirement Systems at (801) 366-7770 or (800) 695-4877 or University Human Resource Management at (801) 581-7447 if you have questions regarding the post-retirement rules.
This position may require the successful completion of a criminal background check and/or drug screen.
The University of Utah values candidates who have experience working in settings with students and possess a strong commitment to improving access to higher education.
Veterans' preference is extended to qualified applicants, upon request and consistent with University policy and Utah state law. Upon request, reasonable accommodations in the application process will be provided to individuals with disabilities.
Consistent with state and federal law, the University of Utah does not discriminate based upon race, ethnicity, color, religion, national origin, age, disability, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, pregnancy-related conditions, genetic information, or protected veteran's status. The University does not discriminate on the basis of sex in the education program or activity that it operates, as required by Title IX and 34 CFR part 106. The requirement not to discriminate in education programs or activities extends to admission and employment. Inquiries about the application of Title IX and its regulations may be referred to the Title IX Coordinator, to the Department of Education, Office for Civil Rights, or both.
To request a reasonable accommodation for a disability or if you or someone you know has experienced discrimination or sexual misconduct including sexual harassment, you may contact the Director/Title IX Coordinator in the Office of Equal Opportunity and Title IX (OEO). More information, including the Director/Title IX Coordinator's office address, electronic mail address, and telephone number can be located at the: University of Utah NonDiscrimination page.


Online reports may be submitted at https://oeo.utah.edu
https://publicsafety.utah.edu/safetyreport/ This report includes statistics about criminal offenses, hate crimes, arrests and referrals for disciplinary action, and Violence Against Women Act offenses. They also provide information about safety and security-related services offered by the University of Utah. A paper copy can be obtained by request at the Department of Public Safety located at 1658 East 500 South.
As per University of Utah policy 5-108: Transfer of Benefits Eligible Staff Members, a new hire to the University of Utah who is still serving a 12 month probationary period will not be hired into another University of Utah job (a transfer) until the successful completion of the probationary period.

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About University of Utah

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The University of Utah is the state’s flagship institution of higher education, with 18 schools and colleges, more than 100 undergraduate majors and graduate programs, and an enrollment of more than 38,000 students. It is a member of the Association of American Universities—an invitation-only, prestigious group of 71 leading research institutions. The U is advancing a new national model for higher education that delivers societal impact through education, research, health care, and community service, while making social, economic, and cultural contributions that improve lives across Utah and around the world.

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Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Salt Lake City, UT, US

Year founded

1850

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