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Model Jobs in Bountiful, UT (NOW HIRING)

krg technology inc

Data Modeler

Salt Lake City, UT · On-site

$53 - $68.75/hr

Company Description Krg Tech inc 661 558 0000* 509 Experience with logical and physical data modeling in a large Enterprise environment Proficient in Oracle/SQL server and ETL tools. Experience with ...

Cementation USA

Structural BIM Modeler

Sandy, UT · On-site

Structural BIM Modeler Department: Engineering Reports to: Design Manager GENERAL PURPOSE OF THIS JOB In collaboration with the engineering team and other stakeholders, the BIM Modeler develops ...

Cementation Americas

Structural BIM Modeler

Sandy, UT · Hybrid

Structural BIM Modeler Department: Engineering Reports to: Design Manager GENERAL PURPOSE OF THIS JOB In collaboration with the engineering team and other stakeholders, the BIM Modeler develops ...

Cementation USA

Structural BIM Modeler

Sandy, UT · On-site

Design Manager GENERAL PURPOSE OF THIS JOBIn collaboration with the engineering team and other stakeholders, the BIM Modeler develops designs by conceptualizing, creating, revising and finalizing ...

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All JobsModel JobsModel Jobs in Bountiful, UT

Model information

See Bountiful, UT salary details

$9

$43

$134

How much do model jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for model in Bountiful, UT is $43.09, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $67.98 per hour, depending on experience, location, and employer.

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

To thrive as a Model, you typically need a strong physical presence, the ability to pose or walk confidently, and an understanding of industry standards, usually supported by a professional portfolio. Familiarity with photo shoot protocols, modeling agencies, and digital submission platforms is essential. Professionalism, adaptability, and strong communication skills help models stand out when working with clients and creative teams. These skills ensure a model can consistently meet diverse assignment demands and maintain a reputable, sustainable career in a competitive industry.

What are some common challenges faced by models during photo shoots and runway shows?

Models often face challenges such as maintaining energy and focus during long hours, adapting quickly to different styling, and working in varied environments that may be physically demanding. They must also interpret the creative direction of photographers or designers while projecting confidence and professionalism. Effective communication and teamwork with stylists, makeup artists, and other models are key to ensuring a successful shoot or show.

What is the difference between Model vs Data Analyst?

AspectModelData Analyst
Required CredentialsKnowledge of statistical modeling, programming skills (e.g., Python, R)Proficiency in data analysis tools, Excel, SQL, and visualization software
Work EnvironmentOften in tech, finance, or research settings focusing on building predictive modelsIn various industries analyzing data to inform business decisions
Employer & Industry UsageUsed in industries requiring predictive analytics and machine learningCommon across business, marketing, healthcare, and finance sectors

The main difference is that a Model develops predictive or statistical models, while a Data Analyst interprets data to generate insights. Models focus on creating algorithms, whereas Data Analysts focus on analyzing and visualizing data to support decision-making.

How do you get a job as a model?

To become a model, individuals typically build a portfolio of professional photos, gain experience through local or online casting calls, and seek representation from modeling agencies. Success often depends on physical appearance, confidence, and networking within the industry, along with understanding industry standards and maintaining a professional attitude.

How much money do models get paid?

Model salaries vary widely based on experience, type of modeling, and market. Fashion models may earn from a few hundred to thousands of dollars per day, while commercial and promotional models typically earn less. Payment can be hourly, daily, or per project, and many models also receive additional compensation such as commissions or royalties.

How to get a career in modeling?

To start a career in modeling, individuals typically build a portfolio with professional photos, gain experience through local or online casting calls, and seek representation from modeling agencies. Physical appearance, confidence, and good communication skills are important, and maintaining a healthy lifestyle can enhance opportunities in the industry.
More about Model jobs

What cities near Bountiful, UT are hiring for Model jobs?

Cities near Bountiful, UT with the most Model job openings:

Model jobs near you
Infographic showing various Model job openings in Bountiful, UT as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 83% Physical, 2% Hybrid, and 15% Remote job distribution, with an average salary of $89,635 per year, or $43.1 per hour.

Financial Crimes Model Analyst

Salt Lake City, UT • On-site

STRIDE BANK NA
See more jobs at STRIDE BANK NAexternal

Full-time

Posted 12 days ago

Job description

The Financial Crimes Model Analyst plays a critical role in designing, validating, and optimizing analytical models that support financial crime prevention, including fraud, AML/KYC, and sanctions monitoring. This role leverages modern data-agnostic, low/no-code analytical platforms and machine-learning tooling to operationalize robust detection logic, integrate LLM/SLM outputs responsibly, and ensure alignment with Model Risk Management (MRM) standards.

PRINCIPAL DUTIES AND RESPONSIBILITIES

  1. Designs, validates, and enhances financial crime detection models across fraud, AML/KYC screening, and related domains.
  2. Applies statistical techniques to evaluate and calibrate LLM/SLM outputs when used in decision-support workflows.
  3. Conducts ablation studies, back testing, and reproducible experiments to ensure model stability and business impact.
  4. Optimizes model and pipeline efficiency, including latency, throughput, and computational performance.
  5. Develops, tracks, and interprets performance metrics.
  6. Implements monitoring for drift, bias, degradation, and shifts.
  7. Produces audit-ready MRM documentation, including validation plans, governance artifacts, explainability notes, and calibration reports.
  8. Maintains model health dashboards and reporting for executives, governance bodies, and oversight functions.
  9. Partners with internal and external data engineers and vendor partners to maintain reliable inputs and production workflows.
  10. Develops SQL and Python assets for exploration, experimentation, reporting, and automated artifact generation.
  11. Maintains clear and comprehensive documentation, including data dictionaries, model cards, decision logic, and workflow diagrams.
  12. Works cross-functionally with engineering, product, compliance, risk, and vendor teams to deploy and maintain models.
  13. Translates complex analytical concepts into accessible insights for varied technical and business audiences.

Non-Essential Functions: Performs other duties as assigned.

EDUCATION AND/OR EXPERIENCE

  • Bachelor's degree in Statistics, Econometrics, Data Science, Mathematics, Computer Science, or a related quantitative field, required; Master's degree, preferred.
  • 3-5 years' experience in model development, evaluation, monitoring, risk governance, or model lifecycle management supporting BSA/AML compliance, fraud and/or case investigation, or experience in quality assurance/control or internal audit, required.
  • Hands-on expertise in SQL and Python for analysis and rapid prototyping, required.
  • Familiarity with modern modeling techniques, or similar low/no-code platforms, and the responsible use of LLM/SLM capabilities, required.
  • Experience producing governance-grade validation or audit documentation, required.
  • Exposure to financial crime domains (AML, KYC, fraud), preferred.
  • CAMS and/or CAFP certifications, preferred.

KNOWLEDGE, SKILLS, AND ABILITIES

  • Strong understanding of supervised/unsupervised ML evaluation, calibration, drift detection, and explainability methods.
  • Knowledge of data quality domains and data lineage principles.
  • Familiarity with AI model governance concepts, including MRM standards and regulatory expectations.
  • Ability to develop and maintain dashboards and report for model health and risk indicators.
  • Knowledge of regulatory environment(s) and emerging BSA/AML and fraud trends.
  • Strong investigative, written, and oral communication skills.
  • Thorough and detail-oriented.
  • Strong commitment to ethics, and the ability to understand a variety of issues and perspectives.
  • Understanding of the banking industry, including bank partnerships with fintech companies.
  • Multitasks effectively and takes action promptly, both independently and in a team environment.
  • Handles highly confidential information with appropriate discretion, and works well in a high volume, fast paced environment.

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