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Model Risk Jobs in Massachusetts (NOW HIRING)

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 ...

Collaborate closely with Model Risk Management (MRM), Compliance, Audit, Legal, and Information Security teams to ensure responsible AI deployment. * Create technical documentation, model development ...

Risk Analyst

Boston, MA · On-site

$75K - $85K/yr

Verisk's Catastrophe and Risk Solutions (CRS) team provides risk modeling software and consulting services to insurers, reinsurers, brokers, and other financial intermediaries. We're looking for a ...

Verisk's Catastrophe and Risk Solutions (CRS) team provides risk modeling software and consulting services to insurers, reinsurers, brokers, and other financial intermediaries. We're looking for ...

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 Sep 15, 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:

What are popular job titles related to Model Risk jobs in Massachusetts?

For Model Risk jobs in Massachusetts, the most frequently searched job titles are:

Infographic showing various Model Risk job openings in Massachusetts as of September 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $68,913 per year, or $33.1 per hour.

Quantitative Risk, AVP

Boston, MA • On-site

State Street Global Advisors
Finance and Insurance • 1 - 5K employees

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago


Key responsibilities

  • Develop and build out financial models and analytics for assessing counterparty credit risk.

  • Assume a key role in model methodology research, prototyping, and determination, and advance existing codebase.

  • Design and implement model monitoring plans, document methodologies, and support regulatory and risk management deliverables.


Job description

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 join our team.

The CMAO organization provides analytics based services and solutions to business units across State Street. Our mission is to create value through data driven solutions enabling State Street and our business partners to make timely and informed decisions.

POSITION PRIMARY DUTIES AND RESPONSIBILITIES

This role will be part of the CMAO team focused on delivering modeling and analytics solutions to assess counterparty credit risk managed by State Street Global Markets ("SSGM"). The portfolio supported includes SSGM Financing Solutions including Agency Lending, Prime Services, Secured Financing, derivatives in interest rates, FX and equity asset classes, Eligible Margin Loan in Global Credit Financing ("GCF") business. The role has significant impact on the BAU risk management as well as the regulatory CCAR requirement through complex deliverables.

This role will:

  • Assume a key role in model methodology research, prototyping and determination
  • Develop and build out financial models and analytics for the trading business leveraging a wide variety of mathematical and computer science methods and tools
  • Advance existing codebase and propose new solutions and improvements
  • Document development methodology, quantitative analysis, and implementation process
  • Design and implement suitable and effective model ongoing monitoring plan including performance metrics, thresholds, and escalation plan
  • Work in close partnership with control functions such as Model Risk Management, Audit, and Financial Regulatory Assurance to ensure appropriate governance and control infrastructure
  • Collaborate with business users and IT partners to establish appropriate production processes within the IT infrastructure
  • Timely execute CCAR deliverables
  • Support regular BAU risk management activities and proactively resolve issues

REQUIREMENTS

  • Masters' or PhD in a quantitative discipline (Financial Mathematics, Financial Engineering, Mathematics, Statistics, Computer Science, or a related field). Experience in machine learning is a plus
  • Minimum 2-4years of working experience in financial modeling field as a key contributor
  • Demonstrated knowledge and experience developing or validating VaR, PFE and CVA models
  • Demonstrated knowledge on derivatives, RMBS and equities pricing/modeling, yield curve building methodology, interest rate modelling
  • Advanced programming skills in statistical programming environment Python and SQL are required
  • Familiarity with CCAR regulatory frameworks and the corresponding requirements is a plus
  • Self-motivated and attention to detail
  • Demonstrated ability to work independently on complex projects as well as the ability to be a team player in a fast-paced, high-energy level environment
  • Strong verbal and written communication skills, with ability to articulate ideas, analysis and complex concepts effectively to broad audiences
  • Competence and confidence to gain credibility and collaborate for success across the organization

Salary Range:

$90,000 - $157,500 Annual

The range quoted above applies to the role in the primary location specified. If the candidate would ultimately work outside of the primary location above, the applicable range could differ.

Employees are eligible to participate in State Street's comprehensive benefits program, which includes: our retirement savings plan (401K) with company match; insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages; paid-time off including vacation, sick leave, short term disability, and family care responsibilities; access to our Employee Assistance Program; incentive compensation including eligibility for annual performance-based awards (excluding certain sales roles subject to sales incentive plans); and, eligibility for certain tax advantaged savings plans.

For a full overview, visit https://hrportal.ehr.com/statestreet/Home.

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.