2

Remote Credit Risk Modeling Jobs in Massachusetts

Model Risk Review Specialist

Westwood, MA · On-site +1

$125K - $161K/yr

... credit, interest rate, market risk, economic, capital, capital market valuation, and other models ... Work with the lines of businesses to identify modeling gaps, errors, or oversights and recommend ...

Model Risk Review Specialist

Westwood, MA · On-site +1

$125K - $161K/yr

... credit, interest rate, market risk, economic, capital, capital market valuation, and other models ... Work with the lines of businesses to identify modeling gaps, errors, or oversights and recommend ...

Market Risk

Boston, MA · On-site +1

$82K - $180K/yr

Hybrid remote telecommuting permitted pursuant to company policy. Minimum requirements: Master ... model ownership and improve on existing risk models like VaR, sensitivities, or back testing ...

Water Resources Engineer

Boston, MA · Remote

$85K - $117K/yr

This role has the opportunity to be remote from any location within the US. Key Responsibilities: * Perform hydrologic and hydraulic modeling projects as part of the Risk FEMA's Mapping, Assessment ...

Remote AI Architect

Boston, MA · Remote

$90 - $92/hr

Remote AI Architect needs 10+ years' experience enterprise-wide AI programs or platform buildouts ... Strong understanding of data governance, privacy, security, and model risk management. * Prior ...

next page

Showing results 1-20

Remote Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as a Remote Credit Risk Modeler, and why are they important?

To thrive as a Remote Credit Risk Modeler, you need a strong background in statistics, data analysis, and financial risk assessment, typically supported by a degree in mathematics, finance, or a related field. Familiarity with statistical modeling tools such as SAS, R, Python, and experience with credit risk platforms or regulatory frameworks like Basel II/III are highly valued. Excellent problem-solving skills, attention to detail, and effective communication are crucial for interpreting complex data and collaborating with remote teams. These skills ensure accurate risk assessments, regulatory compliance, and sound decision-making in credit portfolios.

What is the difference between Remote Credit Risk Modeling vs Remote Credit Analyst?

AspectRemote Credit Risk ModelingRemote Credit Analyst
Required CredentialsDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficialDegree in Finance, Economics, or related field; certifications like CFA or FRM beneficial
Work EnvironmentDeveloping models, analyzing data, using statistical softwareAssessing creditworthiness, reviewing financial documents, communicating with clients
Industry UsageFinancial institutions, credit bureaus, fintech companiesBanks, lending institutions, credit agencies

Remote Credit Risk Modeling focuses on creating statistical models to predict credit risk, requiring strong analytical skills and technical expertise. Remote Credit Analysts evaluate individual credit applications and assess risk based on financial data. While both roles operate remotely within the finance industry, they differ in daily tasks and skill emphasis, with modeling being more technical and analysis more client-focused.

How does a remote Credit Risk Modeling professional typically collaborate with cross-functional teams?

As a remote Credit Risk Modeling professional, collaboration with cross-functional teams—such as data analysts, IT specialists, and business stakeholders—is usually facilitated through virtual meetings, shared project management tools, and version-controlled code repositories. Clear communication and regular updates are essential, as you'll often need to translate complex modeling outcomes into actionable insights for non-technical colleagues. Building strong relationships remotely can be a challenge, but utilizing video calls and collaborative documentation helps ensure alignment on project goals and timelines.

What is remote credit risk modeling?

Remote credit risk modeling involves analyzing and predicting the likelihood that borrowers will default on their loans, all while working from a location outside of a traditional office setting. Professionals in this role use statistical techniques and data analysis tools to assess creditworthiness and help financial institutions minimize risk. They often collaborate with teams virtually, utilizing secure platforms to access data and build predictive models. This remote setup allows for flexibility and efficiency while still upholding high standards of data security and accuracy.
What are the most commonly searched types of Credit Risk Modeling jobs in Massachusetts? The most popular types of Credit Risk Modeling jobs in Massachusetts are:
What are popular job titles related to Remote Credit Risk Modeling jobs in Massachusetts? For Remote Credit Risk Modeling jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in Massachusetts look for? The top searched job categories for Remote Credit Risk Modeling jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Credit Risk Modeling jobs? Cities in Massachusetts with the most Remote Credit Risk Modeling job openings:

Model Risk Review Specialist

Huntington

Westwood, MA • On-site, Remote

$125K - $161K/yr

Other

Medical, Life, Retirement, PTO

Posted 17 days ago


Job description

Description Job Title: Model Risk Review Specialist Organization Name: The Huntington National Bank Department Description The Huntington National Bank 100 Lowder Brook Drive Ste 2700 Westwood, MA 02090 Detailed Description Review and validate models and quantitative frameworks spanning credit, interest rate, market risk, economic, capital, capital market valuation, and other models as needed, ensuring adherence to corporate policies and regulatory standards. Provide critical analysis and effective thought process and challenges for models reviewed and validations performed by both internal and external parties. Communicate to quantitative and business audiences through verbal and written presentations describing the results of the review and validation analyses, and be able to recommend remediation strategy to address the findings.

Assist model owners and developers in the compilation of comprehensive model documentation and ongoing maintenance of the documentation. Serve as a key resource on model concepts and assumption change questions including ability to understand impacts through recommendations. Work closely with business owners and model users and developers to understand the business context for model use and facilitate the model approval process.

Work with the lines of businesses to identify modeling gaps, errors, or oversights and recommend ways to address these issues. Proactively identify emerging model risk issues impacting the company and communicate to model developers, senior management, and the appropriate risk committee. Keep abreast of the latest quantitative strategies through research on solving problems related to credit, interest rate, market risk, economic capital, or capital market valuation, and ability to translate strategies through coding using R, Python, SAS, or related statistical tools.

May mentor and supervise junior colleagues as needed. Position may be eligible for flexible work arrangement that combines in-office and work from home. Job Requirements Master's degree in mathematics, statistics, operations research, or related quantitative field and 3 years of experience in the following: Applying financial modeling theory to provide general solutions; supporting Risk Management or a Business Unit of a financial institution working with high impact models in the following risk areas: credit, interest rate, market risk, economic capital or capital market valuation; developing or validating models for loss forecasting of residential mortgage, home equity loans, home equity line of credit, and auto loans; applying statistical concepts and performing data analysis; performing independent research and development to solve problems and translating that into code; using statistical software packages (e.g

SAS, 'R', Python etc.), and query tools, including MS Excel; and presenting technical data and analysis to management/senior leadership. Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home

Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range: $125,112 - $161,000 Annual Salary The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan.

In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Apply