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Senior Modeling Jobs in Paramus, NJ (NOW HIRING)

Our client is looking for Senior Oracle Data Modeler with extensive finance/banking domain ... Experience with modeling tools like PowerDesigner/ERWIN In-depth knowledge of Oracle including ...

The Impact you will have in this role As a Senior Principal Data Modeler, you will serve as a ... Depth across modeling disciplines - conceptual, logical, and physical modeling; normalized and ...

Senior 3D BIM Modeler

New York, NY · Remote

$110K - $140K/yr

Exodigo is seeking a Senior 3D BIM Modeler to support the development and delivery of complex, data ... Strong understanding of 3D modeling, engineering drawings, construction documents, survey, surfaces ...

Anaplan Model Builder - Senior

New York, NY · On-site

$108K - $137K/yr

Anaplan Model Builder - Senior Seniority: Senior (5-6 years of experience) Location: USA Work Mode: Remote (availability to travel on-site to NY when required) About the Role We are looking for a ...

Sr. Capital & Financial Modeler

New York, NY · On-site

$93K - $116K/yr

Join Our Team The Senior Capital & Financial Modeler will support the development, maintenance, and ... Capital Modeling & Analytics * Maintain and enhance regulatory and rating agency capital models ...

Roles & Responsibilities • Threat Modeling using a documented process. • Development of automation tools as required. • Maintain a high standard of work in identifying threats and specifying ...

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Senior Modeling information

See Paramus, NJ salary details

$25.3K

$81.2K

$165.4K

How much do senior modeling jobs pay per year?

As of Sep 4, 2026, the average yearly pay for senior modeling in Paramus, NJ is $81,244.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $104,200.00 per year, depending on experience, location, and employer.

What is a senior modeler?

Senior Modeling professionals are experts who create, manage, and analyze complex mathematical, statistical, or computational models to solve business or scientific problems. They often work in industries like finance, engineering, data science, and environmental science, using advanced modeling techniques to forecast outcomes, optimize processes, or simulate scenarios. These professionals typically have extensive experience and may also lead teams, mentor junior staff, and contribute to strategy development within their organizations.

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

To thrive as a Senior Modeler, you need advanced expertise in quantitative analysis, statistical modeling, and a relevant degree in mathematics, statistics, finance, or a related field. Mastery of tools such as Python, R, SAS, and familiarity with data visualization and modeling software are typically required, along with certifications like FRM or CFA being advantageous. Strong problem-solving abilities, attention to detail, and effective communication skills distinguish top performers in this role. These competencies are crucial for developing accurate models, interpreting complex data, and providing actionable insights to guide business or research decisions.

What are some common challenges senior modelers face when working on complex projects, and how can they be addressed?

Senior Modeling professionals often encounter challenges such as integrating large and diverse datasets, ensuring model accuracy, and effectively communicating technical findings to non-technical stakeholders. Addressing these challenges requires strong collaboration with data engineers, subject matter experts, and decision-makers, as well as a commitment to continuous learning and validation of models. Utilizing robust model validation techniques, staying updated on industry best practices, and fostering open communication within cross-functional teams can help overcome these hurdles and drive project success.

What is the difference between Senior Modeling vs Data Analyst?

AspectSenior ModelingData Analyst
Required CredentialsBachelor's or Master's in Mathematics, Statistics, or related field; experience with modeling softwareBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentFinancial institutions, consulting firms, or tech companies focusing on predictive modelsBusiness, marketing, or operations teams analyzing data sets
Employer & Industry UsageUsed in finance, insurance, and tech for predictive modelingCommon across industries for data interpretation and reporting

Senior Modeling professionals focus on developing complex predictive models and algorithms, often requiring advanced quantitative skills. Data Analysts interpret data, generate reports, and support decision-making. While both roles work with data, Senior Modeling emphasizes model creation and validation, whereas Data Analysts focus on data interpretation and visualization.

How much do senior models make?

Senior modeling professionals typically earn between $50,000 and $120,000 annually, depending on experience, industry, and location. They often work in industries such as fashion, advertising, or product development, and may require specialized skills or certifications. Compensation can vary widely based on the scope of projects and client budgets.

How to get started as a senior modeling?

To start as a senior model, gain extensive experience in modeling, develop a strong portfolio, and build industry connections. Advanced skills in posing, runway walking, and understanding client needs are essential, along with maintaining professionalism and staying updated on industry trends.

What are the most commonly searched types of Modeling jobs in Paramus, NJ?

The most popular types of Modeling jobs in Paramus, NJ are:

What cities near Paramus, NJ are hiring for Senior Modeling jobs?

Cities near Paramus, NJ with the most Senior Modeling job openings:

Infographic showing various Senior Modeling job openings in Paramus, NJ as of August 2026, with employment types broken down into 84% Full Time, 12% Part Time, and 4% Contract. Highlights an 83% Physical, 6% Hybrid, and 11% Remote job distribution, with an average salary of $81,244 per year, or $39.1 per hour.

Chase Modeling - Applied AI ML Senior Associate

JPMorgan Chase & Co.

Manhattan, NY • On-site

$140 - $190/hr

Other

Re-posted 21 days ago


JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

77th of 174 rated banks


Job description

Join a team that consists of an intellectually diverse team of economists, statisticians, engineers, and other analytics professionals, focused on applied AI and quantitative modeling.

As an Applied AI ML Senior Associate, within the Consumer Business Modeling team you will utilize cutting edge quantitative and computational techniques and leverage one of the world’s largest repositories of consumer data.

Job Responsibilities:
  • Apply critical thinking skills and perform advanced analytics with the goal of solving complex and multi-faceted business problems.
  • Generate deep insights through the analysis of data and understanding of business processes and turn them into actionable recommendations.
  • Contribute to the full modeling lifecycle, including defining the objective and key decision variables, choosing appropriate methodologies, performing advanced quantitative and statistical analysis of large datasets, and communicating results.
  • Develop presentations to summarize and communicate key messages to senior management, sponsors and colleagues.
  • Become a subject matter expert and trusted advisor in the statistical, optimization and/or machine learning modeling discipline.
  • Actively contribute to the continuous learning mindset of the organization by bringing in new ideas and perspectives that stretch the thinking of the group.
Required Qualifications, Capabilities, and Skills:
  • Advanced degree in Statistics, Data Science, Engineering, Computer Science, Economics, Operations Research, Mathematics, or equivalent quantitative field. Ph.D. is a plus.
  • Outstanding written and oral communication skills to present analytical findings and exercise influence among key project stakeholders.
  • Experience in developing machine learning, optimization, and/or statistical models to solve real world problems (e.g. Classification, Regression, Recommender Systems, Natural Language Processing, or Neural Language Modeling).
  • Proficiency in at least one programming language is required, with Python preferred.
  • Strong analytical, interpretive, and problem-solving skills, with demonstrated ability of thinking outside the box.
  • Significant experience working with very large scale (structured and unstructured) data.
Preferred Qualifications, Capabilities, and Skills:
  • Familiarity with big-data environments (e.g. Hadoop, Spark).
  • Model development experience on a cloud development platform.
  • Banking & Financial Services background or experience.
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