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Model Risk Jobs in Massachusetts (NOW HIRING)

Risk Consultant Karen Clark & Company seeks a Risk Consultant to join our Client Services team ... In tandem with the model development team, you will conduct thorough validation analyses of our ...

Ensure all solutions meet enterprise standards for security, data governance, model risk management, and responsible AI. * Coordinate with Enterprise Architecture, Risk, Legal, and the Global Data ...

Risk Modeling * Maintain, validate, and enhance front office investment risk models used by Portfolio Managers * Monitor portfolio risk exposures including factor risk, tracking error, VaR, and ...

Investment Risk Analyst

Boston, MA · On-site

$75K - $90K/yr

Risk Modeling * Maintain, validate, and enhance front office investment risk models used by Portfolio Managers * Monitor portfolio risk exposures including factor risk, tracking error, VaR, and ...

Market Risk

Boston, MA · On-site +1

$82K - $180K/yr

... models (VaR, Expected Shortfall, PV01, Option Greeks); performing stress testing, identify portfolio vulnerabilities and support the stress testing scenario design process; monitoring Market Risk ...

Market Risk

Boston, MA · On-site

$82K - $180K/yr

... models (VaR, Expected Shortfall, PV01, Option Greeks); performing stress testing, identify portfolio vulnerabilities and support the stress testing scenario design process; monitoring Market Risk ...

Contribute to the development and enhancement of risk models, frameworks and tools * Collaborate with technology and data teams to improve risk infrastructure and reporting automation What ideal ...

Contribute to the development and enhancement of risk models, frameworks and tools * Collaborate with technology and data teams to improve risk infrastructure and reporting automation What ideal ...

... and deploy ML models (XGBoost, LightGBM) into live risk systems. The role reports directly to the CEO and operates as the strategic liaison to global payment processors and vendors. Key ...

The Senior Risk & Compliance Analyst will support the design and execution of the cyber risk ... models, data flows, and platform changes. • Collaborate with Security Engineering, Product ...

BIM Modeler

Woburn, MA · On-site +1

$28 - $45/hr

We safeguard organizations' critical assets through data-driven risk management solutions. In ... Support model audits and quality checks under the direction of the BIM Manager or Project Lead

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Showing results 1-20

Model Risk information

See Massachusetts salary details

$15

$33

$80

How much do model risk jobs pay per hour?

As of Jun 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 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 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 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:
What job categories do people searching Model Risk jobs in Massachusetts look for? The top searched job categories for Model Risk jobs in Massachusetts are:
Infographic showing various Model Risk job openings in Massachusetts as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $68,913 per year, or $33.1 per hour.
AI Solution Architect, Vice President - Corporate Functions Technology

AI Solution Architect, Vice President - Corporate Functions Technology

State Street Global Advisors

Boston, MA

$68.50 - $90.25/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 25 days ago


Job description

Who We Are Looking For

We are seeking an AI Solution Architect, Vice President to serve as a senior technology leader responsible for shaping and driving the AI strategy for our Internal Audit function. In this role, you will provide architectural leadership to design, build, and operate productiongrade AI systems that deliver conversational, predictive, and generative capabilities at enterprise scale

This is a handson architectural leadership role requiring deep expertise in Generative AI, large language models (LLMs), retrievalaugmented generation (RAG), AI orchestration frameworks, and enterprise integration patterns. You will partner closely with Internal Audit SMEs, data engineering, security, and infrastructure teams to ensure AI solutions are explainable, secure, compliant, and operationally resilient, while materially improving audit quality, productivity, and insight generation.

What You Will Be Responsible For

AI Architecture & Platform Strategy

  • Lead the endtoend architecture for AIenabled platforms supporting Internal Audit, integrating LLMs, machine learning models, enterprise data platforms, and core systems
  • Define scalable, reusable architectural patterns for conversational assistants, generative insights, predictive analytics, and continuous auditing use cases
  • Act as the technical authority for AI architecture within Internal Audit Technology, setting standards and guiding architectural decisions across initiatives

AI Engineering & Orchestration

  • Lead the design and implementation of AI orchestration frameworks to enable scalable, multistep reasoning and agentbased workflows
  • Architect solutions using frameworks such as LangChain (or equivalent) and cloudnative capabilities (e.g., managed AI/agent services)
  • Design workflows incorporating:
    • Retrievalaugmented generation (RAG) across structured and unstructured data
    • Guardrails, validation layers, and hallucinationmitigation techniques
  • Define and own model selection, evaluation, and benchmarking frameworks, balancing performance, cost, latency, explainability, and risk

Build & Production Operations

  • Lead delivery of productionready AI systems, including model deployment, APIs, orchestration pipelines, and enterprise integrations
  • Establish and mature LLMOps / MLOps practices, including versioning, monitoring, evaluation, logging, rollback strategies, and cost controls
  • Ensure platforms meet enterprise standards for availability, scalability, performance, resilience, and reliability

Governance, Risk & Controls

  • Embed AI governance and model risk management into system design
  • Implement safeguards for data privacy, security, bias detection, explainability, and auditability
  • Partner with Internal Audit, Risk, Compliance, and Legal teams to align solutions with regulatory and internal policy requirements

Use Case Enablement & Innovation

  • Translate audit and risk challenges into highimpact AI use cases (e.g., control testing automation, issue identification, narrative generation, continuous auditing)
  • Guide experimentation and proofofconcepts while ensuring a clear path to production
  • Stay current on emerging AI technologies and recommend pragmatic adoption strategies
What We Value

The skills that will help you succeed in this role include:

  • Endtoend AI architecture and solution design for enterprise, productiongrade systems
  • Handson expertise with Generative AI, including LLMs, prompt engineering, embeddings, RAG, and agentbased workflows
  • AI orchestration and workflow design skills for multistep reasoning, validation, and automation
  • Strong engineering and operational skills to deliver scalable, reliable platforms with robust LLMOps/MLOps practices
  • Responsible AI and governance skills, including model risk management, security, privacy, explainability, and auditability
  • Data engineering and integration skills, leveraging enterprise data platforms, APIs, and distributed systems
  • Analytical problemsolving skills to translate audit and risk challenges into highimpact AI use cases
  • Stakeholder partnership and influence skills across audit, risk, security, and technology teams
  • Clear technical communication and mentoring skills for technical and nontechnical audiences
  • Continuous learning mindset to stay current with evolving AI technologies and best practices
Education & Preferred Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field
  • 10+ years of experience designing and delivering enterprise software or data platforms, with 3+ years focused on AI / ML solutions
  • Handson experience with large language models and modern AI frameworks (prompt engineering, embeddings, RAG, agents)
  • Strong background in cloud platforms (Azure or AWS) and microservicesbased architectures
  • Experience operationalizing AI systems with MLOps / LLMOps tooling and practices
  • Solid understanding of data engineering, APIs, and distributed systems
  • Proven ability to design systems with security, privacy, and regulatory considerations

Nice to Have

  • Experience supporting Internal Audit, Legal, or Risk Corporate functions
  • Familiarity with model risk management or AI governance frameworks
  • Experience with vector databases, semantic search, or enterprise data catalogs
  • Exposure to process mining, control testing automation, or continuous auditing
  • Cloud or AI/ML certifications

Salary Range:

$120,000 - $217,500 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

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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.