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Model Risk Governance Jobs in Massachusetts (NOW HIRING)

Wsgr

Senior AI Risk Advisor

Boston, MA · On-site +1

Excellent communication skills - able to explain model risk, brief a committee on AI governance, and write policy that people will actually read and follow * Excellent computer proficiency (MS Office ...

ASK Consulting

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Compliance Risk Analyst - Mid-Level (277137)

Marlborough, MA · On-site

$46/hr

Familiarity with AI model governance artifacts (model cards, datasheets, risk registers), responsible AI practices (human oversight, safety, transparency), and MLOps. * Exposure to enterprise ...

New

Citizens

Sr Data Scientist Treasury Modeling

Boston, MA · On-site

$124K - $165K/yr

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 ...

Citizens

Sr Data Scientist Treasury Modeling

Westwood, MA · On-site

$124K - $165K/yr

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 ...

Citizens

Sr Data Scientist Treasury Modeling

Boston, MA · On-site

$124K - $165K/yr

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 ...

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Model Risk Governance information

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$11

$49

$155

How much do model risk governance jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for model risk governance in Massachusetts is $49.93, according to ZipRecruiter salary data. Most workers in this role earn between $16.30 and $78.75 per hour, depending on experience, location, and employer.

What are some typical challenges faced in a Model Risk Governance role?

Professionals in Model Risk Governance often encounter challenges such as keeping up with evolving regulatory requirements, ensuring comprehensive documentation for models, and maintaining effective communication between technical modelers and business stakeholders. Balancing rigorous model validations with tight project timelines can also be demanding, especially when coordinating input from various teams. Overcoming these hurdles requires a proactive approach to learning, strong organizational skills, and the ability to translate complex quantitative issues into actionable insights for decision-makers. These challenges make the work dynamic and offer significant opportunities to influence critical risk management processes within the organization.

What is a Model Risk Governance job?

A Model Risk Governance job involves overseeing the policies, procedures, and frameworks used to manage model risk within an organization. Professionals in this role ensure that models used for decision-making in areas like finance, risk management, and compliance are properly validated, monitored, and updated. They work closely with model developers, risk managers, and regulators to enforce governance standards and mitigate potential risks. Key responsibilities include establishing model validation processes, conducting risk assessments, and ensuring compliance with regulatory requirements.

What are the key skills and qualifications needed to thrive in the Model Risk Governance position, and why are they important?

To excel in Model Risk Governance, you typically need a strong background in quantitative finance, statistics, or a related field, often with advanced degrees such as a master's or Ph.D., and experience in risk management. Familiarity with model validation tools, programming languages like Python or R, and regulatory frameworks such as SR 11-7 or Basel guidelines is highly valued. Strong analytical thinking, communication skills, and the ability to manage multiple stakeholders are key soft skills for this position. These competencies ensure effective oversight of model risk, facilitate regulatory compliance, and enable clear communication of complex technical issues to non-technical stakeholders.

What are the most commonly searched types of Model Risk Governance jobs in Massachusetts? The most popular types of Model Risk Governance jobs in Massachusetts are:
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Model Risk Governance jobs near you
Infographic showing various Model Risk Governance job openings in Massachusetts as of July 2026, with employment types broken down into 87% Full Time, 10% Part Time, 1% Temporary, and 2% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $103,846 per year, or $49.9 per hour.
Credit Risk Modeler, Assistant Vice President

Credit Risk Modeler, Assistant Vice President

State Street Corporation

Boston, MA • On-site

$90K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Who we are looking for
A strong quantitative modeler to join the team as Assistant Vice President and Credit Risk Modeler based in New Jersey, Connecticut, or Boston. This role is part of the Centralized Modeling, Analytics and Operations Group within Enterprise Risk Management's Financial Risk Organization.
Why this role is important to us
The team you will be joining plays a critical role in the organization's overall success. Across the globe, institutional investors rely on us to manage risk, respond to complex challenges, and drive performance and profitability. To deliver on that mission, we need teams like yours-teams that help the organization operate effectively, adapt quickly, and remain resilient. In this role, you will focus on developing cutting-edge solutions that are both scalable and practical, while contributing to strong day-to-day execution. Join us if you are motivated to make a meaningful impact in the financial services industry from day one.
What you will be responsible for
As Credit Risk Modeler you will:
  • Develop credit risk models (PD/LGD/EL) to provide quantitative support to credit risk analytical processes for State Street's wholesale portfolios, including Corporate, Commercial Real Estate (CRE), Private Equity (PE) Fund and Private Credit (PC) exposures, etc.
  • Develop credit portfolio risk models for CCAR/CECL/IFRS9/BASEL/Ratings/ICAAP use cases, as well as for economic capital
  • Review and enhance credit risk analytical methodology including modeling choices in line with expanding business and regulatory requirements
  • Review and verify key model assumptions with model owners
  • Review model outputs with properly justified opinions and judgments by experts from credit risk managers to capture forward-looking financial market and macro-economic outlooks
  • Implement internally developed models on risk analytical library platform
  • Streamline the existing modeling and analytical process; increasing the pace of execution to meet the needs of the business
  • Work in close partnership with the three lines of defense functions, such as model governance, Corporate Audit and Financial Regulatory Assurance to ensure appropriate governance and control infrastructure for credit risk analytics
  • Prepare and present required reports/reviews to model risk management, senior management and global regulators

What we value
These skills will help you succeed in this role:
  • Strong analytical and quantitative mindset; ability to take ownership and improve on existing risk models and methodologies
  • Energetic/motivator: an enthusiastic individual with proven leadership skills and an ability to motivate a diverse, multi-level workforce and instill a sense of urgency on a range of evolving goals and objectives
  • Organizational strengths: an ability to organize projects, processes and priorities to ensure business needs are met in a coordinated, responsive and timely manner, with minimal direction
  • Confidence: a self-assured, experienced and knowledgeable individual able to quickly garner support for his/her views based on informed, well-presented direction or analysis, with a willingness to negotiate, and concede, when needed
  • Communicator: clear, confident, self-assured communication style, coupled with an ability to react and adapt to various audiences and environments without diluting effectiveness

Education & Preferred Qualifications
  • PhD in statistics or econometrics or equivalent, prefer research area in survival analysis/event history analyses or related areas; Prefer PhD research that involves heavy programming work with strong programming skills in Python/R/C/C++/SQL etc.
  • Undergraduate training in mathematics and probability theory (measure theory) with good knowledge of stochastic calculus is a big plus.
  • 3-5 years of experiences for MS, 2+ years of experience for PhD (will consider fresh PhD with solid academic background and strong programming skills) of developing credit risk modeling in a financial institution
  • Strong programming skills in Python/R/C/C++/SQL etc.
  • Demonstrated experiences working with model development teams, analytical library development team and technology
  • Motivated and fascinated in how to apply statistics and econometric methodologies to resolve credit risk modeling challenges in financial industry

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.
Discover more information on jobs at StateStreet.com/careers
Read our CEO Statement
Job Application Disclosure:
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.
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About State Street

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State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

Year founded

1792

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