2

Remote Credit Risk Modeling Jobs in North Carolina

At Abrigo, we provide market-leading compliance, credit risk and lending software solutions that ... This remote-first role is primarily based in Raleigh, NC, with quarterly on-site team engagements ...

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 North Carolina? The most popular types of Credit Risk Modeling jobs in North Carolina are:
What are popular job titles related to Remote Credit Risk Modeling jobs in North Carolina? For Remote Credit Risk Modeling jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in North Carolina look for? The top searched job categories for Remote Credit Risk Modeling jobs in North Carolina are:
What cities in North Carolina are hiring for Remote Credit Risk Modeling jobs? Cities in North Carolina with the most Remote Credit Risk Modeling job openings:
Infographic showing various Remote Credit Risk Modeling job openings in North Carolina as of July 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution.

Quantitative Risk Modeling and Analytics Manager

Huntington

Charlotte, NC • On-site, Remote

$93K - $141K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 7 days ago

New


Job description

Description

Huntington National Bank has a new opportunity within Consumer and Regional Banking (CRB) for a Quantitative Risk Modeling and Analytics Manager. This position will focus on quantitative techniques and model development to help support a variety of credit functions including credit modeling, PPNR modeling, fair lending analytics and provide quantitative support for other areas to help manage risks associated with Huntington's balance sheet. This position will drive the model framework to help support the CRB quantitative program and provide cross-functional statistical support to different areas within the Bank. The Quantitative Risk Modeling and Analytics Manager will lead the development of models and techniques to facilitate evaluation of risk and reward across a variety of lending products. The role will also work with a larger team that is responsible for forecasting key elements of Huntington's balance sheet and income statement as part of our annual capital planning activities which includes both commercial and consumer assets and liabilities.

Duties and Responsibilities:

  • Develop quantitative methods and models using SQL, SAS, R, and python for optimization of credit risk across consumer and regional banking portfolios, including writing effective documentation to meet standards set by the model governance group.
  • Gather and assemble data for quantitative method and model development including loan characteristics from loan origination data sources as well as loan accounting systems.
  • Partner with data analytics teams to ensure the validity of data, identify non-compliance and make recommendations for corrective action.
  • Interact with outside consultants that may be used to develop models. Manage the process and help direct the final output.
  • Work with the internal partners to implement models within a framework to allow efficient and effective use of models for fair lending analytics, capital planning, and stress testing.
  • Lead analytic approaches for credit portfolio management and manage other modeling analysts responsible for CRB analytics.
  • Use Oracle financial applications and the corporate data warehouse in the development of portfolio and transaction analysis if necessary.
  • Performs other duties as assigned.

Basic Qualifications:

  • Minimum master's degree required with an economics or other quantitative/statistics concentration, related field, or equivalent experience.
  • 5+ years of experience in statistical modeling using SQL, SAS, R, and Python

Preferred Qualifications:

  • Quantitative method and modeling experience in the banking industry.
  • Experience working with statistical/econometric modeling platforms (SAS, R, Matlab, or Eviews) and building statistical/econometric models.
  • Excellent written and verbal (face-to-face and phone) communication skills including professional grammar and demeanor.
  • Ability to interact with various levels of management and external regulators with the ability to communicate complex calculations into language that is clear and concise.
  • Work well with others but yet willing to offer a point of view that may be contrary to conventional wisdom.
  • Excellent PC software skills including all Microsoft Office Products.
  • Strong organizational skills with attention to detail.
  • Ability to multi-task.


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:

$93,000.00 - $141,000.00 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.