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Model Risk Manager Jobs in North Adams, MA (NOW HIRING)

Versant Health

Senior Data Scientist

Troy, NY · On-site

Define best practices for: model documentation, audit artifacts, model risk management, stability analysis, reproducibility, and controlled experimentation. * Guide and review work produced by other ...

Flagstar Bank

Product Security Principal

Troy, NY · On-site

... model framework. Partners with the Technology Line of Business Lead, Business Architect, and Business Unit Risk Manager (BURM) to cultivate a security-first culture, ensuring products are secure from ...

Versant Health, Inc.

Senior Data Scientist

Troy, NY · On-site

Define best practices for: model documentation, audit artifacts, model risk management, stability analysis, reproducibility, and controlled experimentation. * Guide and review work produced by other ...

Flagstar Bank

Business Technology Lead

Troy, NY · On-site

... model framework. Provides broad technical expertise across solution architecture, application ... Unit Risk Manager (BURM) to deliver secure, scalable, and reliable technology solutions. This ...

Cesna Group

Finance / FP&A Asst. Manager

Troy, NY · On-site

$50K - $100K/yr

... models and scenario analyses to explain / suggest corrective actions --> support business decision-making & risk management * Accounting & Financial Reporting * - Oversee all accounting operations ...

Milliman

Project Manager

Albany, NY · On-site

... risk management and regulatory compliance, data analytics, and business transformation, as well as ... Technical & Analytical Support * Assist with actuarial data analysis, financial modeling, and data ...

Safariland

Production QA - Quality Manager

Dalton, MA · On-site

Working closely with cross-functional teams, the Quality Manager will be responsible for risk ... Model. * Manage and develop the quality team, providing training and mentorship. * Promote a ...

Safariland

Production QA - Quality Manager

Dalton, MA · On-site

Working closely with cross-functional teams, the Quality Manager will be responsible for risk ... Model. * Manage and develop the quality team, providing training and mentorship. * Promote a ...

Safariland

Production QA - Quality Manager

Dalton, MA · On-site

Working closely with cross-functional teams, the Quality Manager will be responsible for risk ... Model. * Manage and develop the quality team, providing training and mentorship. * Promote a ...

Berkshire Bank

Information Security Engineer

Pittsfield, MA · On-site

$55K - $102K/yr

Assists with evaluating security risks associated with AI platforms, agents, models, APIs, third ... Collaborate with IT Operations, Infrastructure, Service Desk, Application Support, Risk Management ...

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All JobsModel Risk JobsModel Risk Manager JobsModel Risk Manager Jobs in North Adams, MA

Model Risk Manager information

See North Adams, MA salary details

$48.4K

$104.9K

$159.9K

How much do model risk manager jobs pay per year?

As of Sep 15, 2026, the average yearly pay for model risk manager in North Adams, MA is $104,948.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,700.00 and $121,400.00 per year, depending on experience, location, and employer.

What does a model risk manager do?

A Model Risk Manager is responsible for identifying, assessing, and mitigating risks associated with financial and analytical models used by an organization. They ensure that models are accurate, reliable, and compliant with regulatory standards by overseeing validation processes and monitoring model performance. Their role often includes collaborating with model developers, conducting independent reviews, and implementing model governance frameworks to minimize potential losses or errors stemming from model misuse or inaccuracies.

What skills and qualifications are needed to be a model risk manager?

To thrive as a Model Risk Manager, you need a solid background in quantitative finance, statistics, or mathematics, often supported by an advanced degree and experience in model development or validation. Familiarity with programming languages such as Python or R, risk management frameworks, and regulatory requirements like SR 11-7 or ECB guidelines is typically expected. Strong analytical thinking, attention to detail, and effective communication are crucial soft skills for articulating complex model risks to stakeholders. These competencies are vital for ensuring the accuracy, compliance, and reliability of financial models within an organization.

What are common challenges a model risk manager faces when validating complex financial models?

Model Risk Managers often encounter challenges such as limited or incomplete data, evolving regulatory requirements, and the need to validate highly complex or proprietary models. They must work closely with model developers, quantitative analysts, and compliance teams to ensure all assumptions and methodologies are sound. Staying up to date with industry best practices and maintaining clear documentation are also crucial, as is effectively communicating findings to both technical and non-technical stakeholders.

What is the difference between Model Risk Manager vs Quantitative Analyst?

AspectModel Risk ManagerQuantitative Analyst
Required CredentialsAdvanced degrees in finance, statistics, or mathematics; certifications like FRM or CFADegree in finance, economics, mathematics, or related fields; often CFA or CQF
Work EnvironmentFocus on risk management teams within financial institutions; regulatory complianceAnalytical roles within trading, investment, or banking divisions; model development
Employer & Industry UsageFinancial institutions, banks, asset managersInvestment firms, hedge funds, banks, financial services

The Model Risk Manager primarily oversees and mitigates risks associated with financial models, ensuring compliance and accuracy. In contrast, Quantitative Analysts develop and implement models to support trading, investment, or risk strategies. While both roles require strong quantitative skills and similar credentials, their focus areas differ—risk management versus model development and analysis.

What job categories do people searching Model Risk Manager jobs in North Adams, MA look for?

The top searched job categories for Model Risk Manager jobs in North Adams, MA are:

What cities near North Adams, MA are hiring for Model Risk Manager jobs?

Cities near North Adams, MA with the most Model Risk Manager job openings:

Model Risk Manager jobs near you
Infographic showing various Model Risk Manager job openings in North Adams, MA as of July 2026, with employment types broken down into 82% Full Time, 17% Part Time, and 1% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $104,948 per year, or $50.5 per hour.

Senior Data Scientist

Troy, NY • On-site

Versant Health
Insurance Services • 1 - 5K employees
Learn more about Versant Healthexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

Senior Data Scientist
Senior Data Scientist
Who are we?
Versant Health is one of the nation's leading administrators of managed vision care, serving millions of our clients' members nationwide. We are driven by our mission to help members enjoy the wonders of sight through healthy eyes and vision.
As a Versant Health associate, you can enjoy a comprehensive Total Rewards package, which includes health and dental insurance, tuition reimbursement, 401(k) with company match, pet insurance, no-cost-to-you vision insurance for you and your qualified dependents. We are also invested in your success. There are many opportunities for advancement and development throughout all stages of your career with us.
See how you can make a difference with the support of strong leadership and a team environment.
See Everything, Be Anything™.
What are we looking for?
The Senior Data Scientist is a principal-level individual contributor responsible for architecting, delivering, and governing enterprise-grade advanced analytics and machine learning solutions that materially influence strategic decisions, financial performance, operational efficiency, and regulatory posture.
This role operates at the intersection of data science, data engineering, cloud analytics platforms, and business strategy, serving as a technical authority and thought leader across complex, high-risk analytical initiatives-particularly within regulated healthcare environments.
The Senior Data Scientist is accountable not only for model development, but for explainability, stability, auditability, and long-term operational viability of analytical solutions deployed at scale within the Microsoft data ecosystem.
Where you will have an impact
  • Architect, design, and deploy advanced statistical, predictive, and machine learning solutions that support enterprise-level decision-making across healthcare, operations, finance, and customer/member domains.
  • Own end-to-end analytical solution lifecycle, including data discovery, feature engineering, modeling, validation, performance monitoring, retraining strategy, and retirement planning.
  • Serve as a technical authority on model explainability, fairness, robustness, and regulatory defensibility-particularly where ground truth or forward-looking forecasts are limited.
  • Design analytics solutions natively within the Microsoft cloud analytics stack, ensuring alignment to enterprise data architecture and governance standards.
  • Partner closely with executive stakeholders, data engineering leaders, and platform owners to translate complex business questions into high-impact, production-ready analytics.
  • Lead and influence analytics standards without direct authority.
  • Define best practices for: model documentation, audit artifacts, model risk management, stability analysis, reproducibility, and controlled experimentation.
  • Guide and review work produced by other data scientists, analysts, and vendors to ensure technical rigor and business relevance.
  • Present complex analytical findings to senior leadership using clear narratives, decision-oriented visuals, and quantified trade-offs.
  • Proactively identify analytical risks, data limitations, and downstream impacts of modeling decisions.
  • Continuously evaluate emerging tools, methodologies, and Microsoft platform capabilities to drive modernization and performance gains.

What's necessary to do the job?
  • Master's degree preferred in data science, statistics, mathematics, computer science, engineering, or related field required.
  • 7-10+ years of progressive experience delivering advanced analytics or machine learning solutions in complex, data-rich environments.
  • Required: Prior experience in healthcare analytics (payer, provider, life sciences, or regulated healthcare data domains).
  • Prior acutrary experience a plus.
  • Proven experience deploying production analytics or ML solutions supporting mission-critical business processes.
  • Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow where appropriate)
  • SQL (advanced T-SQL optimization, analytical patterns)
  • ML explainability and governance techniques (e.g., SHAP-style approaches, stability testing)
  • Deep, hands-on, production experience across sizable portion of the Microsoft analytics ecosystem, including:
  • Microsoft Fabric (Lakehouse, Data Warehouse, Real-Time Analytics, Notebooks)
  • Azure Synapse Analytics (dedicated & serverless SQL pools)
  • Azure Data Factory (Fabric Data Pipelines)
  • Azure Data Lake Storage
  • Azure Machine Learning (model training, deployment, monitoring)
  • Power BI (semantic models, DAX optimization, executive dashboards)
  • Microsoft Purview (data cataloging, lineage, classification)

HIPAA & Security Requirements
All Associates must comply with the Health Insurance Portability Accountability Act of 1996 (HIPAA) as it pertains to disclosures of protected health information (PHI) as described in the Notice of Privacy Practices and HIPAA Privacy Policies and Procedures. As a component of job roles and responsibilities, Associates may have access to covered information, cardholder data or other confidential customer information which must be protected at all times. As a result, Associates must explicitly adhere to all data security guidelines established within the Company's Privacy & Security Training Program.
We offer a comprehensive and competitive total rewards package designed to support your health, financial well-being, and work-life balance. Benefits include medical, dental, and paid vision coverage; paid time off and company holidays; retirement savings with employer contribution; employee wellness resources; and professional development opportunities. Additional benefits may include flexible work arrangements, employee assistance programs, and other programs that support you both at work and beyond.
Versant Health will never request money from candidates who seek employment with us and will never ask for any payment as part of the recruitment process.
Versant Health is a proud Equal Employment Opportunity and Affirmative Action employer dedicated to attracting, retaining, and developing a diverse and inclusive workforce. All qualified applicants will receive consideration for employment at Versant Health without regards to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity or expression, age, disability, national origin, marital or domestic/civil partnership status, genetic information, citizenship status, uniformed service member or veteran status, or any other characteristic protected by law.

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