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Model Validation Remote Jobs in Massachusetts (NOW HIRING)

Remote, Must work EST Hours! * Citizenship: GC/USC Ideally * Duration: 6 month contract (Through Q1 ... Model Validation: Experience in validating statistical and predictive models, including 1:1 output ...

Remote, Must work EST Hours! * Citizenship: GC/USC Ideally * Duration: 6 month contract (Through Q1 ... Model Validation: Experience in validating statistical and predictive models, including 1:1 output ...

Data Science Intern Statistical Modeling & Marketing Measurement Remote | Internship | Full-time | ... Apply core model-validation techniques such as train/validation/test splits, cross-validation ...

This compensation range is specific to a remote role and takes into account the wide range of ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

This compensation range is specific to a remote role and takes into account the wide range of ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

This compensation range is specific to a remote role and takes into account the wide range of ... Experience with AI governance processes, including AI use case tracking, model risk classification ...

Hardware Expert - Remote

Boston, MA ยท Remote

$50 - $100/hr

Global, Fully Remote Schedule: Flexible, ~15 hours/week Role Summary We are seeking skilled ... Export and validate STEP and other solid-model formats. * Verify dimensions, geometry, topology ...

Hardware Expert - Remote

Boston, MA ยท Remote

$50 - $100/hr

Global, Fully Remote Schedule: Flexible, ~15 hours/week Role Summary We are seeking skilled ... Export and validate STEP and other solid-model formats. * Verify dimensions, geometry, topology ...

SolidWorks Expert - Remote

Boston, MA ยท Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

SolidWorks Expert - Remote

Boston, MA ยท Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

SolidWorks Expert - Remote

Boston, MA ยท Remote

$40 - $130/hr

... model training. * Translate engineering requirements into structured CAD data suitable for AI learning and validation. * Collaborate remotely with cross-functional teams, providing clear written ...

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

Analyze and validate clinical trial data. * Review and interpret Statistical Analysis Plans (SAPs ... Survival analysis, mixed models, covariate adjustment * Multiplicity control & ICH E9(R1)

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Model Validation Remote information

What is model validation in a remote job context?

Model validation, especially in a remote setting, involves evaluating and verifying the accuracy, performance, and reliability of statistical or machine learning models from a location outside of a traditional office. Professionals in this role typically assess whether models meet regulatory requirements, function as intended, and are free from biases or errors. Remote model validators use various tools and techniques to conduct tests, write reports, and communicate findings with stakeholders via digital platforms. This work is essential in sectors like finance, insurance, and tech, where robust models drive critical decisions. Successful remote model validation requires strong analytical skills, clear communication, and proficiency with data analysis tools.

What are the key skills and qualifications needed to thrive as a model validation remote?

To thrive as a Model Validation Remote, you need a strong background in quantitative disciplines such as mathematics, statistics, or finance, typically supported by a relevant degree. Proficiency with statistical software (like SAS, R, or Python), model risk management frameworks, and familiarity with regulatory guidelines (such as SR 11-7) are commonly required. Analytical thinking, attention to detail, and strong written communication are crucial soft skills in this role. These skills ensure accurate model assessments, regulatory compliance, and effective communication of complex findings to stakeholders.

What are some common challenges faced by professionals in remote model validation roles, and how can they be addressed?

Remote model validation professionals often encounter challenges such as maintaining clear communication with model developers and stakeholders, accessing secure data environments, and staying updated with evolving regulatory standards. To address these, it's important to leverage robust collaboration tools, schedule regular check-ins with cross-functional teams, and participate in ongoing training or knowledge-sharing sessions. Establishing clear documentation protocols and ensuring secure remote access to necessary data can also help maintain productivity and compliance.

What is the difference between Model Validation Remote vs Model Validation on-site?

AspectModel Validation RemoteModel Validation on-site
Work EnvironmentRemote, home-basedOn-site, office or client location
Required CredentialsSimilar certifications, e.g., CFA, FRM, or relatedSame as remote, often with additional in-person requirements
Industry UsageFinancial institutions, banks, asset managersSame industries, with in-person collaboration
Work FlexibilityHigh, flexible hours and locationLess flexible, fixed hours and location

Both remote and on-site model validation roles require similar credentials and industry knowledge. The main difference lies in the work environment and flexibility, with remote positions offering greater convenience and location independence, while on-site roles facilitate direct collaboration and immediate access to resources.

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

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

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

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

What job categories do people searching Model Validation Remote jobs in Massachusetts look for?

The top searched job categories for Model Validation Remote jobs in Massachusetts are:

What cities in Massachusetts are hiring for Model Validation Remote jobs?

Cities in Massachusetts with the most Model Validation Remote job openings:

Associate Actuary, Capital Modeling (REMOTE)

thg

Worcester, MA โ€ข On-site, Remote

Full-time

Posted 19 days ago


Job description

Our Corporate Actuarial department is seeking an Associate Actuary to join the Economic Capital Modeling team our Worcester, MA Corporate Headquarters or remote.ย 

POSITION SUMMARY:

This role supports the development, maintenance, and application of Hanover's Economic Capital Model (ECM) and related capital management tools. The ECM serves as a key decision-support framework for evaluating enterprise risk, capital requirements, risk-adjusted performance, reinsurance strategies, and strategic business opportunities.

Responsibilities include capital modeling, model validation, capital allocation analysis, profitability assessments, and evaluation of the impact of business and reinsurance strategies on enterprise risk and return.

This role partners with a variety of departments, including corporate finance, Reinsurance and Enterprise Risk Management. Strong analytical and communication skills are essential, as findings and recommendations will be presented to both technical and non-technical stakeholders. The position also contributes to ongoing model enhancements, process improvements, and the continued evolution of Hanover's capital management capabilities.

This is a Full-time, Exempt role.


IN THIS ROLE, YOU WILL:ย 

  • Support the maintenance, governance, and ongoing enhancement of Hanover's Economic Capital Model (ECM).
  • Analyze model assumptions, methodologies, and outputs, contributing recommendations that improve the ECM's effectiveness, accuracy, and business value.
  • Perform enterprise risk quantification, stochastic modeling, and capital adequacy analyses across underwriting, reserving, catastrophe, market, credit, and operational risks.
  • Conduct stress testing and scenario analyses to assess the impact of emerging risks and changing business conditions on capital requirements.
  • Analyze key drivers of economic capital consumption, profitability, and risk-adjusted performance across business segments.
  • Support the development and maintenance of capital allocation and performance measurement frameworks used in strategic decision-making.
  • Determine the impact of reinsurance structures, capital management initiatives, and business opportunities on risk, return, and capital efficiency.
  • Analyze the capital implications of strategic initiatives and management actions, providing data-driven insights and recommendations.
  • Partner with Finance, Enterprise Risk Management, Investments, Treasury, Pricing, Reserving, and business leaders to communicate results and support enterprise decision-making.

WHAT YOU NEED TO APPLY:

  • Bachelor's degree in a relevant technical or quantitative field.
  • Five+ years of actuarial, capital modeling, enterprise risk management, predictive analytics, pricing, reserving, or related analytical experience.
  • ACAS or equivalent experience preferred.
  • Strong understanding of actuarial modeling techniques, enterprise risk management concepts, and capital management principles.
  • Experience interpreting complex analytical results and translating them into business recommendations.
  • Advanced skills using Microsoft Office, including Excel and PowerPoint.
  • Programming and analytical experience using Python, R, SQL, and other actuarial or data analytics tools, with demonstrated ability to automate processes, develop analytical solutions, and improve operational efficiency
  • Proven ability to manage multiple priorities and deliver high-quality work within established timelines.
  • Ability to influence decisions and collaborate effectively across functions and organizational levels