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Risk Modeling Jobs (NOW HIRING)

Head of Credit Risk Analytics & Modeling Visa Sponsorship: Not available About IDB Bank For more than 70 years, IDB Bank has been committed to delivering exceptional service and building long-term ...

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How much do risk modeling jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for risk modeling in the United States is $30.34, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $38.70 per hour, depending on experience, location, and employer.

What is risk modeling?

Risk modeling is the process of using statistical and mathematical techniques to predict potential risks and their impact on an organization or financial system. Professionals in this field develop models to assess the likelihood and severity of various risks, such as credit, market, operational, or environmental risks. These models help organizations make informed decisions, comply with regulations, and minimize potential losses by preparing for uncertain events.

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

To thrive as a Risk Modeler, you need strong quantitative analysis skills, a background in statistics or mathematics, and typically a relevant degree such as finance, economics, or engineering. Familiarity with statistical software (like SAS, R, or Python), risk management frameworks, and regulatory requirements is essential, and certifications such as FRM or CFA are often valued. Attention to detail, problem-solving abilities, and effective communication help translate complex data into actionable insights for various stakeholders. These skills ensure accurate risk assessment, regulatory compliance, and informed decision-making in high-stakes environments.

What are some common challenges faced by professionals in risk modeling roles, and how are they typically addressed?

Risk modeling professionals often encounter challenges such as managing incomplete or inconsistent data, keeping up with rapidly evolving regulatory requirements, and ensuring their models remain accurate as market conditions change. To address these, teams frequently collaborate with data engineers, compliance specialists, and business stakeholders to validate data sources, implement robust model governance processes, and regularly update models. Continuous learning and cross-functional communication are key to staying effective in this dynamic environment.

What is the difference between Risk Modeling vs Risk Analyst?

AspectRisk Modeling
AspectRisk Modeling

Risk Modeling involves developing quantitative models to predict and assess potential risks using statistical and mathematical techniques. Risk Analysts interpret these models, analyze data, and provide insights to support decision-making. While Risk Modeling focuses on creating models, Risk Analysts apply these models to real-world scenarios. Both roles often require similar credentials like certifications in risk management and work in similar environments such as finance, insurance, or banking. Understanding the distinction helps organizations allocate resources effectively and professionals target their skill development.

Do risk analysts make good money?

Risk analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with experience and advanced skills such as data analysis and risk assessment tools, salaries can increase significantly, often reaching six figures for senior roles.

What does a risk modeling do?

A risk modeler analyzes data to identify and quantify potential risks that could impact an organization, often using statistical and mathematical techniques. They develop models to predict the likelihood and impact of various risk factors, supporting decision-making and risk management strategies. Proficiency in data analysis tools and understanding of industry-specific risks are essential for this role.
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What cities are hiring for Risk Modeling jobs?

Cities with the most Risk Modeling job openings:

What are the most commonly searched types of Risk Modeling jobs?

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What states have the most Risk Modeling jobs?

States with the most job openings for Risk Modeling jobs include:

Infographic showing various Risk Modeling job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $63,100 per year, or $30.3 per hour.

Credit Risk Modeling & Analytics Manager

Ra

Jersey City, NJ โ€ข On-site

$100K/yr

Full-time

Re-posted 16 days ago


Job description

Company Description

Why we need you?


Our client is one of the unique IT Services Company serving across the globe. They are a leading operations management and analytics company that help businesses enhance growth and profitability.

We are looking for a dynamic modeling professional to join their team in Jersey City. ย 

Job Description

Here's what you'll be doing.

  • You'll develop Models for client as per the agreed upon schedule
  • You'll document modeling requirements based on discussions and information provided by client modeling lead/business users
  • You'll develop models based on the model requirements definition , per the agreed upon schedule with client
  • You'll develop new and enhance existing risk scorecards (application, behavior, collections/recovery etc.) or Marketing Analytics modeling (customers targeting)
  • You'll create and maintain detailed model documentation


You need these qualifications.

  • You hold a Master's degree in Statistics, Economics, Engineering, Finance, Mathematics, or a related quantitative field from tier 1 colleges
  • You have a sound Knowledge of SAS, SQL and other analytical tools (R, SPSS).
  • You've experience working in Banking, Credit Cards, Marketing Analytics, Credit Risk Modeling.
  • You've experience working with Machine Learning techniques (Support Vector Machines, Genetic Algorithms, Random Forests, K-Nearest Neighbor algorithm, Principal Component analysis etc.)
  • You've more than 3 years of experience in building models (data cleaning, dependent variable selection, independent variable study and understanding, variable reduction, bivariate analysis, variables grouping, logistic/linear model build, model validation, KS/Lift study/PSI etc.)
  • You've exposure in Online / Digital analytics & Text Mining.


Here's what we can offer.

Competitive base salary of $100K+ Bonus and Benefits+ Relocation Assistance


Work Authorization:ย 

US Citizens/ Green Card/ Permanent Residents/ EAD.

Additional Information

All your information will be kept confidential according to EEO guidelines. Ping me at shruthi.n at roljobs dot com to know more.