1

Mathematical Modeling Jobs in Rhode Island (NOW HIRING)

Math 1 Tutor

Providence, RI · Remote

$18 - $40/hr

Guides students through modeling with linear and exponential functions, interpreting scatter plots and residuals, and performing rigid transformations on the coordinate plane. Emphasizes mathematical ...

Math 2 Tutor

Providence, RI · Remote

$18 - $40/hr

Adapts instruction using dynamic geometry software, visual models for probability, and scaffolded practice to support students building on Integrated Math 1 foundations. * Effective Teaching Methods:

Ability to explain number sense, coordinate plane plotting, and mathematical reasoning while ... using visual models and hands-on manipulatives. Guides students through pre-algebra concepts ...

... and visual models. Guides students through skip counting, place value understanding, basic ... Familiar with elementary math standards for grades one through five and common challenges such as ...

next page

Showing results 1-20

Mathematical Modeling information

See Rhode Island salary details

$26.9K

$55.5K

$59.2K

How much do mathematical modeling jobs pay per year?

As of Jul 20, 2026, the average yearly pay for mathematical modeling in Rhode Island is $55,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,800.00 and $58,300.00 per year, depending on experience, location, and employer.

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

To excel as a Mathematical Modeler, you need a strong background in mathematics, statistics, and computational science, typically supported by a degree in mathematics, engineering, or a related field. Familiarity with programming languages such as Python, MATLAB, or R, and experience with modeling software and data analysis tools are crucial. Analytical thinking, problem-solving, and effective communication skills help translate complex findings for diverse stakeholders. These abilities ensure accurate model development, insightful analysis, and impactful decision-making across scientific and business applications.

What is mathematical modeling?

Mathematical modeling is the process of using mathematical concepts, structures, and equations to represent real-world systems, phenomena, or problems. This can involve creating formulas or simulations to predict outcomes, analyze situations, or solve complex issues in fields like science, engineering, economics, and more. By abstracting key components of a problem into mathematical terms, models help researchers and professionals test ideas, optimize solutions, and make informed decisions. Mathematical modeling often requires both theoretical knowledge and practical application to ensure the model accurately reflects reality.

What is the difference between Mathematical Modeling vs Data Analyst?

AspectMathematical ModelingData Analyst
Required CredentialsDegree in Mathematics, Applied Math, or related fieldsDegree in Statistics, Data Science, or related fields
Work EnvironmentResearch labs, engineering firms, academiaBusiness, finance, marketing departments
Industry UsageDeveloping models to simulate systems or processesAnalyzing data to inform business decisions

Mathematical Modeling focuses on creating mathematical representations of real-world systems, often for simulation or prediction. Data Analysts interpret and analyze data sets to support decision-making. While both roles require strong quantitative skills and familiarity with statistical tools, Mathematical Modelers emphasize developing models, whereas Data Analysts focus on data interpretation and reporting.

What are some common challenges faced by professionals in mathematical modeling roles, and how can they be addressed?

Professionals in mathematical modeling often encounter challenges such as dealing with incomplete or noisy data, ensuring models are both accurate and interpretable, and effectively communicating complex results to non-technical stakeholders. To address these issues, it's important to regularly validate models with real-world data, collaborate closely with domain experts, and develop strong data visualization and presentation skills. Building a robust understanding of statistical methods and staying updated on new modeling techniques can also help in overcoming these challenges and delivering impactful results.

How to Get a Job in Mathematical Modeling

The qualifications that you need to start working in mathematical modeling include a degree and experience using computer software and programming languages. You can start in this field by earning a bachelor’s degree in math, statistics, or computer science. Some employers accept applicants who have previous experience and relevant computation skills. If your duties involve computer programming, you need to know languages like Python or C++. Research positions often require a master’s degree or Ph.D. If your responsibilities include data analysis, you can pursue a graduate degree in data science, machine learning, or a similar subject.

What are the most commonly searched types of Mathematical Modeling jobs in Rhode Island? The most popular types of Mathematical Modeling jobs in Rhode Island are:
What are popular job titles related to Mathematical Modeling jobs in Rhode Island? For Mathematical Modeling jobs in Rhode Island, the most frequently searched job titles are:
What job categories do people searching Mathematical Modeling jobs in Rhode Island look for? The top searched job categories for Mathematical Modeling jobs in Rhode Island are:
What cities in Rhode Island are hiring for Mathematical Modeling jobs? Cities in Rhode Island with the most Mathematical Modeling job openings:
VP Mortgage Pipeline Valuation and Risk Modeling

VP Mortgage Pipeline Valuation and Risk Modeling

Citizens

Johnston, RI

$126K - $169K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 17 days ago


Job description

The Mortgage Pipeline Valuation and Risk Modeling VP will be responsible for advanced administration, development, and strategic enhancement of the QRM-MB platform supporting mortgage pipeline risk management, best execution analytics, hedging, valuation, and secondary marketing decisioning. This role will own the development of highly complex modeling frameworks, abstract analytical concepts, and ad hoc testing scenarios within QRM, with a focus on expanding the system's capabilities beyond baseline production support. Core responsibilities will include interest rate shock modeling, option-adjusted duration and convexity analytics, best execution modeling, pipeline valuation, fallout modeling review, and the design of advanced analytical processes to support capital markets strategy.

This position will work closely with the existing QRM team, which is primarily responsible for maintaining system integrity, performing routine checks and validations, managing version upgrades, and ensuring the stability of core production processes. While operating alongside that team, this role will be responsible for the advanced management of the QRM framework, including scripting and process programming, scenario development, model enhancement, interaction with model validation, and independent review of fallout function performance and broader model outputs. The successful candidate will be expected to identify opportunities to improve analytical precision, system efficiency, governance, and scalability across the mortgage capital markets platform.

Extensive hands-on QRM-MB experience is required, along with a deep understanding of fixed income/mortgage analytics, mortgage pipeline hedging, secondary marketing, mortgage pricing, servicing valuation concepts, and model governance. This role is expected to lead the QRM function from both a technical and managerial perspective, requiring prior management experience, strong leadership capability, and the ability to mentor and direct analytical staff. The role will also partner with ALM, MSR, Finance, Risk, Technology, and Model Validation teams to ingest data, support cross-functional initiatives, and ensure QRM outputs are aligned with enterprise risk management, valuation, and capital markets objectives.

Primary responsibilities include

  • Lead Mortgage Capital Markets Analytics & Best Execution Strategy - Design, configure, and optimize QRM-MB models and decision frameworks that drive mortgage pipeline valuation, best execution, hedging strategies, and secondary marketing performance.
  • Develop and Enhance Risk Modeling Solutions - Build, maintain, and improve advanced mortgage risk models, including interest rate sensitivity, pipeline valuation, fallout forecasting, duration/convexity analytics, and hedge effectiveness measurement.
  • Drive Scenario Analysis & Strategic Decision Support - Perform complex stress testing, market simulations, and sensitivity analyses to evaluate risk exposures, execution alternatives, and portfolio performance under changing market conditions.
  • Improve Operational Efficiency Through Automation - Streamline QRM processes, reporting, validations, and data workflows by implementing automated controls, exception monitoring, and scalable solutions that reduce manual effort and strengthen operational resiliency.
  • Deliver Innovative Tools, Reporting & Analytics - Lead the development and implementation of new QRM tools, dashboards, reports, and analytical capabilities to support leadership decision-making across Capital Markets, Finance, Risk, ALM, and Secondary Marketing.
  • Partner Across the Enterprise - Collaborate with Capital Markets, Risk, Model Validation, ALM, Finance, Technology, and business leaders to ensure models, reporting, and analytical frameworks align with enterprise standards, regulatory requirements, and business objectives.

Qualifications, Education, Certifications and/or Other Professional Credentials

Skills/Competencies:

  • Expert QRM-MB proficiency: Extensive hands-on experience administering, configuring, testing, and enhancing QRM-MB for mortgage pipeline risk, valuation, best execution, fallout, hedge analytics, and secondary marketing workflows.

  • Fixed income and mortgage analytics: Strong knowledge of duration, convexity, option-adjusted measures, spread sensitivity, prepayment behavior, fallout behavior, hedge ratios, and basis risk.

  • SQL proficiency: Ability to query, transform, reconcile, and validate large loan-level, pricing, hedge, execution, fallout, investor, and risk datasets.

  • Python proficiency: Ability to automate processes, manipulate large datasets, validate model outputs, run quantitative analysis, and support analytics inside and outside of QRM.

  • Advanced Excel skills: Strong capability with complex formulas, scenario analysis, sensitivity modeling, pivot tables, Power Query, and management-ready analytical outputs.

  • Mathematical and quantitative reasoning: Comfort with fixed income math, statistical concepts, probability-weighted outcomes, scenario design, and model performance testing.

  • Abstract thinking and analytics: Ability to translate loosely defined business questions into structured modeling frameworks, testable scenarios, and actionable conclusions.

  • Model governance and validation: Experience documenting methodologies, testing assumptions, explaining model limitations, and supporting independent model validation reviews.

  • Leadership capability: Prior experience leading technical analysts or modeling teams, setting priorities, reviewing work product, mentoring staff, and driving accountability.

  • Attention to detail and intellectual curiosity: Willingness to challenge assumptions, pressure-test outputs, identify inconsistencies, and continuously improve analytical frameworks.

Required Qualifications

  • 5+ years of progressive experience in mortgage banking or MSR modeling
  • 5+ years of direct experience with QRM-MB or QRM-SV platforms
  • Demonstrated expertise in data analysis and reporting with proven ability to work with large, complex datasets from multiple sources
  • Extensive hands-on experience with QRM-MB platform supporting mortgage pipeline valuation, hedging, and secondary marketing
  • Strong expertise in fixed income and mortgage analytics, including duration, convexity, hedge analytics, and prepayment/fallout behavior
  • Demonstrated experience in mortgage pricing, margin management, and capital markets strategy
  • Proven ability to develop and manage complex analytical and modeling frameworks
  • Strong SQL, Python, and advanced Excel capabilities
  • Experience with model governance, validation, and regulatory expectations
  • Prior leadership experience with the ability to manage, mentor, and develop analytical teams

Preferred Qualifications

  • 10+years of experience in mortgage banking, capital markets, or MSR/pipeline modeling.
  • 10+years of direct experience with the QRM-MB or QRM-SV platforms
  • Deep experience in pricing optimization across products, channels, and investor executions
  • Experience supporting Non-Agency, GNMA, and alternative execution strategies
  • Advanced degree in Finance, Economics, Business Analytics, or related field

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday 

Pay Transparency 

The salary range for this position is $161,000 - $214,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the budget, work location, and relevant skills and experience.   

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

#LI-Citizens2

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Equal Employment and Opportunity Employer

Job Applicant Data Privacy Policy

Background Check

Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.