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Mathematical Modeler Jobs in Delaware (NOW HIRING)

Industrial Maintenance Mechanic

Millsboro, DE · On-site

$22.75 - $28/hr

Strong mechanical and mathematical skills. Why Join Mountaire? * Skills-Based Pay Model: Your compensation grows as your skills grow. * Certified Training Programs: We invest in your development with ...

Conducts periodic model monitoring and recommends valuation changes, tracking outcomes to ensure ... Bachelor's Degree in an analytical or quantitative field such as Statistics, Mathematics, Computer ...

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

... Mathematics, Statistics, Econometrics, or Engineering. * 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering. * Hands-on experience with LLM ...

CCB Risk Program Associate

Wilmington, DE · On-site

$57K - $57K/yr

... Mathematics, Statistics, Econometrics, or Engineering. * 5+ years' experience in creating predictive models, and generative AI solutions using LLM prompt engineering. * Hands-on experience with LLM ...

The Gen AI Engineer is responsible for analyzing and modeling organizational data for the ... Mathematics, etc.) or equivalent degree and 4 or more years of experience; or any combination of ...

Implement monitoring mechanisms to track model performance in real-time and ensure model ... Computer Science, Mathematics, Operations Research, Data Science. * 5+ years of experience in ...

New

The Gen AI Engineer is responsible for analyzing and modeling organizational data for the ... Mathematics, etc.) or equivalent degree and 4 or more years of experience; or any combination of ...

Risk Manager I (US)

Wilmington, DE · On-site

$91K - $136K/yr

Strategy The position is expected to have strong statistical and mathematical background with in-depth Auto Origination experience, thorough understanding of scorecard and statistical model mechanism ...

Showing results 41-60

Mathematical Modeler information

See Delaware salary details

$11K

$105.6K

How much do mathematical modeler jobs pay per year?

As of Aug 7, 2026, the average yearly pay for mathematical modeler in Delaware is $97,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,100.00 and $105,100.00 per year, depending on experience, location, and employer.

What types of projects do mathematical modelers typically work on, and how do they collaborate with other teams?

Mathematical modelers often work on projects that require analyzing complex data and developing simulations or predictive models for fields like finance, healthcare, engineering, or environmental science. They regularly collaborate with cross-functional teams, such as data scientists, engineers, and domain experts, to ensure models are accurate and aligned with project goals. Effective communication is key, as modelers must explain their findings and model limitations to non-technical stakeholders. This collaborative environment helps ensure that the models developed are practical, actionable, and meet the needs of the organization.

What is a mathematical modeler?

Mathematical Modelers are professionals who use mathematical techniques and computational tools to create models that represent real-world systems, processes, or phenomena. These models help predict outcomes, solve problems, and inform decision-making in fields such as engineering, finance, biology, and environmental science. Mathematical Modelers typically analyze data, develop algorithms, and validate models to ensure their accuracy and usefulness. Their work is essential for research, product development, and policy planning across various industries.

Is mathematical modeling hard?

Mathematical modeling can be challenging as it requires strong analytical skills, understanding of complex concepts, and proficiency with tools like MATLAB or Python. Success in this field often depends on a solid foundation in mathematics, problem-solving abilities, and experience with data analysis. It is a demanding but rewarding profession for those with a strong quantitative background.

What is the difference between Mathematical Modeler vs Data Analyst?

AspectMathematical ModelerData Analyst
Required CredentialsDegree in Mathematics, Statistics, or related fieldDegree in Statistics, Data Science, or related field
Work EnvironmentResearch labs, finance, engineering, or tech companiesBusiness, marketing, finance, or healthcare sectors
Employer & Industry UsageUsed for developing complex models to predict or optimize systemsUsed for interpreting data to inform business decisions

While both roles involve working with data and quantitative methods, Mathematical Modelers focus on creating complex mathematical models to simulate and predict systems, often requiring advanced mathematical skills. Data Analysts primarily interpret existing data sets to generate insights and support decision-making. The roles overlap in skills but differ in scope and application.

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

To thrive as a Mathematical Modeler, you need strong analytical skills, a solid background in mathematics or applied mathematics, and typically a degree in a related field such as mathematics, engineering, or physics. Proficiency with programming languages (such as Python, R, or MATLAB), statistical software, and modeling tools is essential. Critical thinking, creativity, and effective communication set standout professionals apart in this field. These skills and qualities are crucial for developing accurate models, solving complex real-world problems, and clearly conveying findings to diverse stakeholders.

What do mathematical modelers do?

Mathematical modelers develop and analyze mathematical representations of real-world systems to solve complex problems. They use techniques such as differential equations, statistical analysis, and computer simulations, often working with specialized software to create models that inform decision-making across industries like engineering, finance, and healthcare.
What are popular job titles related to Mathematical Modeler jobs in Delaware? For Mathematical Modeler jobs in Delaware, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeler jobs in Delaware look for? The top searched job categories for Mathematical Modeler jobs in Delaware are:
Infographic showing various Mathematical Modeler job openings in Delaware as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, 2% Temporary, and 2% Contract. Highlights an 91% In-person, 4% Hybrid, and 5% Remote job distribution, with an average salary of $97,250 per year, or $46.8 per hour.

Applied AI/ML [Multiple Positions Available]

J.P. Morgan

Wilmington, DE

$57K - $57K/yr

Full-time

Medical, Retirement

Posted 14 days ago


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

DESCRIPTION:

Duties: Develop artificial intelligence and machine learning (AI/ML)-based solutions that drive key credit decisions in the risk management process. Work on strategic, highly visible machine learning projects and interact with business strategy, model governance, data management, and model implementation teams to drive business results. Apply analytical, data science, and machine learning skills to solve complex business problems. Work across teams to design, develop, and implement analytical models. Responsible for these models throughout the model's life cycle, including data cleanup, data analysis, model selection, ongoing performance monitoring, issue resolution, and model retirement. Monitor and validate existing models to support risk strategy and business functions. Liaise with business partners to ensure alignment of the modeling team's Book of Work with the strategic direction of the business. Contribute to the asks and requirements stemming from various regulatory exams. Prepare presentations and reports for both non-technical and technical audiences including senior management, risk strategy and Model Risk Governance and Review (MRGR).

QUALIFICATIONS:

Minimum education and experience required: Master's degree in Finance, Statistics, Computer Science, Mathematics, Engineering or related field of study plus 3 years of experience in the job offered or as Applied AI/ML, Data Scientist, Postdoctoral Researcher, Postdoc Research Associate, or related occupation. The employer will alternatively accept a PhD in Finance, Statistics, Computer Science, Mathematics, Engineering or related field of study plus 1 year of experience in the job offered or as Applied AI/ML, Data Scientist, Postdoctoral Researcher, Postdoc Research Associate, or related occupation. The occupation may be gained through professional work experience, graduate work occupation experience, postdoctoral experience, or internship.

Skills Required: This position requires three (3) years of experience with the following: Applying artificial intelligence (AI) and machine learning (ML) techniques including Logistic Regression, Random Forest, and Gradient Boosting Machine to develop and implement classification and regression models on large-scale datasets; Deploying data analysis, feature-engineering, and model development workflows using Python and SAS. Experience in the skills may be gained through professional work experience, graduate work experience, postdoctoral experience, or internship. This position requires any amount of experience with the following: Utilizing Analytical and modeling methods including logistic regression, gradient boosting machine, multinomial regression, multivariate analysis, discriminant analysis, principal component analysis, factor analysis, and time series analysis; Identifying quantitative relationship embedded within data to predict target variable and inform decision-making; Utilizing Quantitative data management and analytics, including data extraction, cleaning, transformation, and visualization; Designing and developing interactive Excel and PowerPoint reports with advanced functionalities, including LOOKUP, index match, data analysis add-ons, Pivots, and Visual Basic for Applications (VBA); Performing data manipulation, structuring, design flow, and query optimization using programming languages including SQL and Python; Processing large data sets using data containers, multithreading, and multiprocessing in PySpark; Utilizing data science libraries including Pandas, Numpy, Scikit-learn, TensorFlow, Pytorch, Matplotlib and Seaborn and software engineering fundamentals including version control using GitHub and Bitbucket. Experience in the skills may be gained through professional work experience, graduate work experience, postdoctoral experience, or internship.  

Job Location: 301 N Walnut St, Wilmington, DE 19801-3935.

Full-Time.

ABOUT US

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

ABOUT THE TEAM

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.