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Model Risk Jobs in Massachusetts (NOW HIRING)

Collaborate with Model Risk Management, Model Validation, and Market Risk for periodic model reviews * Monitor model performance and recommend enhancements including overlays, recalibration, or ...

Collaborate with Model Risk Management, Model Validation, and Market Risk for periodic model reviews * Monitor model performance and recommend enhancements including overlays, recalibration, or ...

Collaborate with Model Risk Management, Model Validation, and Market Risk for periodic model reviews * Monitor model performance and recommend enhancements including overlays, recalibration, or ...

Quantitative Risk, AVP

Boston, MA · On-site

$90K - $157K/yr

BACKGROUND The Centralized Modeling & Analytics and Operations(CMAO) team within State Street's Enterprise Risk Management (ERM) organization is looking for an experienced quantitative analyst to ...

Build benchmark reserving models and design statistical tests to review and challenge reserving model assumptions (risk segmentation, trends, loss development factors etc.) and the conceptual ...

Quantitative Risk, VP

Boston, MA · On-site

$120K - $202K/yr

Who we are looking for The Centralized Modeling & Analytics and Operations(CMAO) team within State Street's Enterprise Risk Management (ERM) organization is looking for an experienced quantitative ...

Quantitative Risk, VP

Boston, MA · On-site

$122 - $203/hr

Who we are looking forThe Centralized Modeling & Analytics and Operations(CMAO) team within State Street's Enterprise Risk Management (ERM) organization is looking for an experienced quantitative ...

Showing results 21-40

Model Risk information

See Massachusetts salary details

$15

$33

$80

How much do model risk jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for model risk in Massachusetts is $33.13, according to ZipRecruiter salary data. Most workers in this role earn between $21.25 and $42.26 per hour, depending on experience, location, and employer.

What is model risk?

Model risk refers to the potential for adverse consequences resulting from decisions based on incorrect or misused models. In financial institutions, model risk can arise if a model's assumptions are flawed, if the data input is poor, or if the model is applied inappropriately. Managing model risk involves validating models, monitoring their performance, and ensuring that they are used within their intended scope. Effective model risk management helps organizations avoid significant financial losses and comply with regulatory requirements.

What are some typical challenges faced by professionals working in model risk, and how can they be addressed?

Professionals in Model Risk often encounter challenges such as ensuring model accuracy, managing regulatory compliance, and effectively communicating complex technical findings to non-technical stakeholders. Addressing these challenges requires a strong understanding of both quantitative modeling and relevant regulations, as well as strong collaboration skills to work with model developers, auditors, and business units. Staying informed about evolving regulatory standards and participating in ongoing training can also help model risk professionals remain effective and add value to their organizations.

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

To thrive as a Model Risk Analyst, you need a solid background in quantitative analysis, statistics, or finance, often supported by an advanced degree in a related field. Familiarity with model validation tools, programming languages such as Python or R, and regulatory frameworks like SR 11-7 is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for evaluating models and presenting findings to stakeholders. These skills ensure model integrity, regulatory compliance, and risk mitigation in financial institutions.

What is the difference between Model Risk vs Model Validation?

AspectModel RiskModel Validation
Primary FocusIdentifying, assessing, and mitigating risks associated with modelsEvaluating and testing models to ensure accuracy and reliability
Required CredentialsQuantitative skills, risk management certifications, industry experienceQuantitative expertise, validation certifications, industry knowledge
Work EnvironmentRisk management teams within financial institutions or firmsModel validation teams, often within risk or model development departments
Industry UsageUsed across banking, insurance, and investment firms to manage model-related risksCommonly employed in financial services to verify model performance

Model Risk focuses on managing the potential negative impacts of models, including errors and misuse, while Model Validation concentrates on testing and confirming the accuracy and robustness of models. Both roles are essential in financial industries to ensure models are reliable and risks are minimized.

What does a model risk do?

A model risk professional assesses and manages the risks associated with using mathematical and statistical models in financial and operational decision-making. They review model accuracy, validate assumptions, and ensure compliance with regulatory standards, often using tools like SAS or R. Their work helps prevent financial loss due to model errors or misestimations.

What does a model risk specialist do?

A model risk specialist evaluates and manages risks associated with financial or operational models used by organizations. They review model assumptions, validate model performance, and ensure compliance with regulatory standards, often using statistical and analytical tools. Their work helps prevent model errors that could lead to financial loss or regulatory issues.

What are the most commonly searched types of Model Risk jobs in Massachusetts?

The most popular types of Model Risk jobs in Massachusetts are:

Infographic showing various Model Risk job openings in Massachusetts as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $68,913 per year, or $33.1 per hour.

Sr Data Scientist Treasury Modeling

Citizens

Boston, MA

$124K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 11 days ago


Job description

Job Summary:

CFG is a leading financial institution dedicated to providing innovative solutions to manage financial risks and optimize asset and liability portfolios. The Central Model Development team within the Asset Liability Management group is responsible for developing and maintaining models that support strategic decision-making.

This role develops, implements, and maintains ALM and CCAR/PPNR models. The position also provides guidance to functional leaders on model impacts and partners with Model Risk Management, Market Risk, and Internal Audit to support model governance and regulatory requirements.


Key Responsibilities:

  • Develop and maintain models supporting balance sheet forecasting for the Asset Liability Management group
  • Build customer behavior models for attrition, origination, and prepayment across deposit and loan products
  • Develop predictive models for market rates and macroeconomic variables related to ALM and CCAR
  • Partner with data science teams under leadership guidance to deliver model solutions
  • Create and maintain model documentation to support validation and governance processes
  • Collaborate with Model Risk Management, Model Validation, and Market Risk for periodic model reviews
  • Monitor model performance and recommend enhancements including overlays, recalibration, or redevelopment
  • Perform sensitivity testing, back testing, and fundamental driver analysis
  • Demonstrate understanding of related models including interest rate and term structure models
  • Propose improvements to loan and deposit modeling and challenge existing assumptions
  • Support development of forward-looking macroeconomic and interest rate views in partnership with Treasury
  • Provide analytical support for balance sheet and liquidity strategy decisions
  • Support initiatives including Balance Sheet Optimization, Funds Transfer Pricing, Mortgage Servicing Rights, CCAR, and DFAST
  • Prepare materials for Asset Liability Committee and senior management

Required Qualifications:

  • Experience applying statistical analysis in Treasury modeling, risk management, forecasting, or pricing within a bank or consulting firm
  • Proficiency in Python, R, or similar analytical programming languages
  • Strong analytical and quantitative modeling skills
  • Experience developing and maintaining financial or risk models
  • Strong communication skills with the ability to translate complex analysis into business insights

Preferred Qualifications:

  • Experience with prepayment models such as BlackRock, Black Knight, QRM, or ADCO
  • Experience with deposit models such as QRM or Novantas
  • Exposure to balance sheet management systems such as QRM, BancWare, or Empyrean
  • Familiarity with financial and economic data sources such as FRED, Bloomberg, or Economy.com
  • Progress toward Chartered Financial Analyst designation

Education:

  • Master's degree or PhD in Finance, Economics, Mathematics, Statistics, or related STEM field preferred

Pay Transparency 

The salary range for this position is $124,000 - $165,000 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 .


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.