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Model Jobs in Wheeling, IL (NOW HIRING)

Senior Data Modeler - Erwin & Azure FocusHybrid Onsite - 3-4 days work from home, 1-2 days onsiteThis role is responsible for data modeling using Erwin in an Azure environment, working with Azure ...

New

Senior Data Modeler - Erwin & Azure FocusHybrid Onsite - 3-4 days work from home, 1-2 days onsiteThis role is responsible for data modeling using Erwin in an Azure environment, working with Azure ...

New

Senior Data Modeler

Chicago, IL · On-site

$120K - $170K/yr

Manage an enterprise data model in collaboration with clinicians, data scientists, engineers, product managers, and operators to integrate clinical data from source systems in multiple complex ...

Senior Data Modeler

Chicago, IL · On-site

$120K - $170K/yr

Manage an enterprise data model in collaboration with clinicians, data scientists, engineers, product managers, and operators to integrate clinical data from source systems in multiple complex ...

Quantitative Modeler Manager - AML

Chicago, IL · On-site

$56.50 - $73.25/hr

These systems include the Actimize SAM Security Blanket model as well as a portfolio of targeted monitoring models developed internally via SAS/SQL/Python. The ideal candidate for this position will ...

Sales Distribution Data Modeler

Chicago, IL · On-site

$56.50 - $73.25/hr

Conducts data profiling and quality analysis to identify gaps, redundancies, and integrity issues, and drives remediation through model and pipeline improvements. * Monitors and tunes Snowflake for ...

Showing results 41-60

Model information

See Wheeling, IL salary details

$10

$47

$147

How much do model jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for model in Wheeling, IL is $47.33, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $74.66 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.

What cities near Wheeling, IL are hiring for Model jobs?

Cities near Wheeling, IL with the most Model job openings:

Infographic showing various Model job openings in Wheeling, IL as of August 2026, with employment types broken down into 49% Full Time, 41% Part Time, 7% Temporary, and 3% Contract. Highlights an 94% In-person, 3% Hybrid, and 3% Remote job distribution, with an average salary of $98,450 per year, or $47.3 per hour.

Data Analyst Manager - Model Risk Office

Capital One

Chicago, IL • On-site

Full-time

Re-posted 12 days ago


Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

93rd of 171 rated banks


Job description

Data Analyst Manager - Model Risk Office
At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.
The Model Risk Governance - Reporting and Automation team sits within the Model Risk Office and serves for providing risk reporting to enterprise and process optimization for the department. Responsible for managing the enterprise-wide model risk reporting function, the team is actively driving a strategic transformation to replace legacy reporting with an interactive, GenAI-centric reporting ecosystem. In addition to innovating the reporting function, the team is deploying scalable, cutting-edge AI solutions-including intelligent multi-agent architectures-to eliminate repetitive manual workflows, optimize operational efficiency, and minimize human error. To accelerate this vision, the team has a vital need for forward-thinking talent eager to execute high-impact, AI-powered automation work that transforms how the enterprise visualizes and manages model risk.
What you'll do:
  • Builds and deploys scalable artificial intelligence and machine learning models to automate existing model risk management process, reporting and controls
  • Architect and deploy an interactive, conversational reporting chatbot powered by AI solutions
  • Experiment with and develop advanced, multi-agent AI workflows designed to execute complex cognitive tasks.
  • Optimize data integration across core systems into centralized infrastructure to create a highly accurate, audited "source of truth" for model risk metrics
  • Drive current and future strategy by leveraging your analytical skills
  • Assist with building and using models to test and validate data
  • Work with vast amounts of data in new and evolving environments
  • Be a part of growing and developing our brand in new and emerging markets
  • Leverage analytics to create a customer experience above our peers
  • Lead a team of talented junior analysts on an exciting professional journey while mentoring them and elevating their careers
  • Be a part of the full life cycle of projects and see end results
  • Collaborate across business units
  • Work with top talent in a fast paced, entrepreneurial environment where analytics and good data are a top priority
  • Experience real work life balance, with little travel involved

On any given day you will be:
  • Mining data to arrive at specific and crucial information for the organization
  • Identifying and implementing process, data, and reporting improvements for the organization
  • Working with large and complex databases containing millions to billions of records
  • Improving operational efficiencies and effectiveness
  • Conducting analysis to evaluate processes and tests
  • Extracting and analyzing data to gauge product offerings
  • Consulting on the design and implementation of new production and data storage systems
  • Developing and implementing strategic tests of products, initiatives and marketing materials

An ideal candidate will be on the leading edge of Analytical technology with a passion for the newest and most innovative tools. Possessing strong problem solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills are also important. This position will be in a fast-paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams. This role will have a strong Business Intelligence component and those with a BI background are strongly encouraged to apply.
Basic Qualifications
  • Currently has, or is in the process of obtaining a:
    • Bachelor's Degree in quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) plus at least 6 years of experience performing data analytics, or
    • Master's Degree plus at least 4 years of experience performing data analytics with an expectation that required degree will be obtained on or before the scheduled start date.
  • At least 4 years of experience performing professional data analysis work
  • At least 4 years of experience performing programming

Preferred Qualifications:
  • Master's Degree in a Science, Technology, Engineering, Mathematics discipline
  • At least 7 years of professional data analysis work experience
  • At least 4 years of experience with Python, R, Spark or SQL
  • At least 1 year of experience in people management
  • At least 1 years of project management experience
  • At least 1 year of experience in interactive reporting tools such as Tableau or Quicksight
  • At least 1 years of experience in a Model Risk Management, Risk Governance, or highly regulated financial environment
  • At least 1 years of experience working with Large Language Models (LLMs) and advanced AI toolsets (e.g., Claude Code, Github Copilot, Gemini, Google Workspace Studio).
  • Proficient utilizing and developing within AWS service

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.
McLean, VA: $164,800 - $188,100 for Data Analysis Manager
Richmond, VA: $149,800 - $171,000 for Data Analysis Manager
Chicago, IL: $149,800 - $171,000 for Data Analysis Manager
Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.
This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.
Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
This role is expected to accept applications for a minimum of 5 business days.
No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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