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Modelling Jobs in Illinois (NOW HIRING)

Java Developer with MFF

Chicago, IL · On-site

$52.50 - $68/hr

... • Data Modelling and Performance optimization using No SQL Queries Qualifications : Required : • IBM Mobile First Platform Required • Strong and experienced JAVA developer with hand on ...

Technical supervision during project execution, specifically site surveys, reservoir modelling, exploratory/production drilling, construction and commissioning phases, including travel to the project ...

Technical supervision during project execution, specifically site surveys, reservoir modelling, exploratory/production drilling, construction and commissioning phases, including travel to the project ...

Technical supervision during project execution, specifically site surveys, reservoir modelling, exploratory/production drilling, construction and commissioning phases, including travel to the project ...

Experience with simulating and testing audio systems with mathematical modelling languages such as Python or MATLAB is a plus * Creativity and curiosity for future technologies while having a strong ...

The position reports to Head of Monash Complex Computational Modelling Laboratory and Head of Medical Data Science and Innovation Network. Why work with us? Discover the advantages of working with us ...

Technical Architect

Chicago, IL · On-site

$68.25 - $82.50/hr

... modelling, governance, survivorship, and integration. • Proficiency in ETL development, data modelling techniques, and advanced SQL. • Experience working with REST SaaS APIs, Business Events ...

Web Application Security

Chicago, IL · On-site

$60.50 - $81/hr

... Threat modelling (STRIDE or equivalent methodology). Qualifications : Required : • Perform static application security testing (SAST)/code audits - automated and manual. • Perform dynamic ...

Showing results 21-40

Modelling information

See Illinois salary details

$47

$71

$91

How much do modelling jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for modelling in Illinois is $71.41, according to ZipRecruiter salary data. Most workers in this role earn between $65.24 and $81.78 per hour, depending on experience, location, and employer.

What is modelling?

Modelling is a profession where individuals, known as models, pose or display products, clothing, or accessories for advertising, promotional, or artistic purposes. Models work in a variety of settings, including fashion shows, print advertisements, commercials, and digital media. The field includes different types of modelling such as fashion, commercial, fitness, and runway modelling, each with its own requirements and expectations. Models collaborate with photographers, designers, and brands to help visually communicate ideas or sell products. Success in modelling often requires a combination of physical attributes, professionalism, and the ability to express emotions or concepts through poses and expressions.

What are the key skills and qualifications needed to thrive as a model?

To thrive as a Model, you need physical fitness, a strong portfolio, and an understanding of the fashion or commercial industry, often supported by agency representation or professional training. Familiarity with photo shoot protocols, posing techniques, and sometimes digital tools for virtual castings or portfolio management is important. Confidence, adaptability, and strong interpersonal skills help models build relationships and respond professionally to direction. These skills and qualities are crucial for consistently delivering the desired image, maintaining professionalism, and succeeding in a competitive industry.

What are some of the common challenges faced by professional models, and how can they prepare for them?

Professional models often encounter challenges such as maintaining a healthy work-life balance, dealing with irregular schedules, and adapting to varying client expectations. Additionally, models may work in fast-paced environments where adaptability and resilience are key. To prepare, it's helpful to develop strong time management skills, maintain a supportive network, and stay proactive in personal health and self-care. Building good relationships with agencies and consistently updating one's portfolio also contribute to ongoing career success.

What is the difference between Modelling vs Data Analysis?

AspectModellingData Analysis
Required credentialsStatistics, mathematics, or related degrees; often certifications in modelling techniquesStatistics, data science, or related degrees; certifications in data analysis tools
Work environmentFinancial, engineering, or scientific sectors; focus on creating predictive modelsBusiness, marketing, or research sectors; focus on interpreting data sets
Employer usageFinancial institutions, engineering firms, scientific researchCorporations, marketing agencies, research organizations
Common search intentUnderstanding predictive modelling techniques and careersInterpreting data insights and reporting

Modelling involves creating mathematical or statistical models to predict future outcomes, often requiring advanced quantitative skills. Data analysis focuses on examining data sets to extract meaningful insights, emphasizing interpretation and reporting. While both roles require analytical skills, modelling is more predictive and technical, whereas data analysis is more descriptive and interpretive.

Do beginner models get paid?

Beginner models can get paid, but the amount varies depending on the type of modeling, the market, and the agency. Some beginner models work for free or for portfolio development, while others earn hourly or project-based fees once they gain experience and build a portfolio. Payment terms are typically outlined in contracts or agency agreements.

How can you get into modeling?

To get into modeling, individuals typically build a portfolio of professional photos, gain experience through local or online agencies, and attend open casting calls or auditions. Having a good appearance, confidence, and understanding of industry standards can improve chances of success.

What are the most commonly searched types of Modelling jobs in Illinois?

The most popular types of Modelling jobs in Illinois are:

Infographic showing various Modelling job openings in Illinois as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, and 3% Contract. Highlights an 81% Physical, 9% Hybrid, and 10% Remote job distribution, with an average salary of $148,541 per year, or $71.4 per hour.

Senior Vice President, Risk & Portfolio Analytics

Chicago, IL • On-site

$120K - $200K/yr

Full-time

Re-posted 18 days ago


Job description

Senior Vice President, Risk & Portfolio Analytics- Job Description
Position Summary
The Senior Vice President, Risk & Portfolio Analytics exists to lead and own the analytics capability across Avoca Risk and its affiliated MGAs. The role is accountable for delivering data-driven portfolio insights, pricing discipline, and performance analytics that support underwriting strategy, capital allocation, and business growth. This position owns a critical enterprise capability spanning actuarial oversight, catastrophe modeling, business intelligence, and portfolio management, serving as both a strategic advisor and hands-on leader. The role directly supports organizational growth, underwriting performance, and scalable analytics transformation.
Key Responsibilities
Functional Leadership & Ownership
  • Ownership of the enterprise analytics function across all platform MGAs.

  • Accountability for analytics strategy, governance, and roadmap execution.

  • Acting as a subject matter expert and primary decision-maker for portfolio analytics, pricing, and risk insights.

  • Partnering with underwriting, finance, technology, and capital stakeholders to align analytics outputs with business needs.

Hands-On Execution & Delivery
  • Direct execution of deep-dive portfolio analysis, actuarial evaluations, and pricing assessments.

  • Overseeing catastrophe modeling workflows and exposure analytics using RMS and related tools.

  • Designing and maintaining analytics processes, reporting structures, and evaluation frameworks.

  • Supporting product and contract reviews to ensure pricing adequacy and technical soundness.

  • Creation and maintenance of portfolio reporting, dashboards, and KPI tracking.

  • Ensuring accuracy, quality, and integrity of analytics outputs and data.

  • Providing regular management reporting and ad hoc analytics for decision support.

  • Monitoring portfolio performance, identifying risks, and resolving issues proactively.

Cross-Functional Partnership & Integration
  • Partnering with underwriting, finance, and technology teams to integrate analytics into business workflows.

  • Translating complex analytics into clear, decision-ready insights for senior leadership and stakeholders.

  • Supporting alignment across functions and ensuring analytics outputs meet downstream needs.

  • Improving collaboration and resolving cross-functional challenges.

Growth, Change & Special Initiatives
  • Leading or supporting growth initiatives, new program launches, and analytics expansion efforts.

  • Participating in planning, execution, and delivery of transformation initiatives.

  • Building scalable processes and repeatable analytics frameworks.

  • Ensuring continuity and alignment during organizational change.

Process Improvement & Best Practices
  • Identifying opportunities to enhance analytics processes, tools, and methodologies.

  • Driving automation and scalability across reporting and modeling capabilities.

  • Staying current on actuarial, analytics, and insurance industry best practices.

  • Championing adoption of improved, efficient ways of working.

Center of Excellence (COE) Contribution
  • Contributing thought leadership and expertise to the analytics capability across the enterprise.

  • Translating strategy into scalable analytics tools, frameworks, and processes.

  • Developing documentation, playbooks, and standards.

  • Partnering with functional groups to deliver integrated solutions and support change initiatives.

Accountability
  • Delivering effective, scalable, and strategy-aligned analytics outcomes.

  • Maintaining high standards of quality, accuracy, and reliability.

  • Supporting execution during growth, transformation, and change.

  • Building strong cross-functional partnerships and demonstrating ownership and sound judgment in decision-making.

Qualifications
Required
  • Significant experience within insurance, reinsurance, MGA/MGU, or brokerage environments.

  • Strong actuarial foundation with ACAS, FCAS, or equivalent progress preferred.

  • Knowledge of ISO-based pricing methodologies and P&C structures. Experience with RMS or other catastrophe modeling platforms.

  • Hands-on experience with SQL, Python, Power BI, or similar tools.

  • Demonstrated leadership and ability to build and develop teams.

  • Strong communication and stakeholder influence skills.

Preferred
  • Experience leading analytics transformation or enterprise initiatives.

  • Advanced certifications in actuarial or analytics disciplines.

  • Experience operating in multi-entity or global environments.

Key Competencies
  • Strategic & Systems Thinking

  • Ownership & Accountability

  • Data-Driven Decision Making

  • Process Design & Continuous Improvement

  • Consulting, Influence & Collaboration

  • Change Agility

  • Business Acumen
Compensation
The base salary range for this position is $120,000-$200,000 annually. Individual compensation will be determined based on a variety of factors including relevant experience, skills, education, and internal equity.