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Remote Credit Risk Modeling Jobs in Ashburn, VA (NOW HIRING)

Aegis Corps

Risk Analyst

Washington, DC · On-site +1

Estimate and validate loan-level logistic regression and survival analysis models to analyze the credit risk associated with multifamily residential, nursing home, and hospital loans. * Develop ...

System One

Risk Analyst

Vienna, VA · Remote

W-2 negotiable Work Model: Hybrid - onsite and remote Hours: 40 hrs a week Security Clearance: Full ... credit - fingerprinting Responsibilities * Support the operation of the risk function by evaluating ...

System One

Risk Analyst

Vienna, VA · Remote

W-2 negotiable Work Model: Hybrid - onsite and remote Hours: 40 hrs a week Security Clearance: Full ... credit - fingerprinting Responsibilities * Support the operation of the risk function by evaluating ...

System One

Risk Analyst

Vienna, VA · Remote

W-2 negotiable Work Model: Hybrid - onsite and remote Hours: 40 hrs a week Security Clearance: Full ... credit - fingerprinting Responsibilities * Support the operation of the risk function by evaluating ...

System One

Risk Analyst

Vienna, VA · Remote

W-2 negotiable Work Model: Hybrid - onsite and remote Hours: 40 hrs a week Security Clearance: Full ... credit - fingerprinting Responsibilities * Support the operation of the risk function by evaluating ...

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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.
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Remote Credit Risk Modeling jobs near you

Risk Analyst

Aegis Corps

Washington, DC • On-site, Remote

Full-time

Re-posted 11 days ago

Job description

We are seeking an experienced predictive risk modeler to perform risk assessment on FHA multifamily housing portfolio.To perform in this role, the potential candidate will need skills in econometrics, statistical analysis, and modelling.
The main responsibilities include:
  • Develop predictive risk models, plan and prioritize work, and collaborate across the project team as well as with client.
  • Estimate and validate loan-level logistic regression and survival analysis models to analyze the credit risk associated with multifamily residential, nursing home, and hospital loans.
  • Develop, enhance, validate, and run a stochastic simulation model that forecasts the credit risk and outstanding insurance liabilities for new and existing books of business.
  • Maintain an analytical support framework and loan performance database that includes over 2 million historical records across 40 years.
  • Develop risk management strategies and perform policy analysis for new loan insurance programs and changes to underwriting requirements.
  • Develop, maintain, and validate a credit risk score used by the client as an early warning tool.
  • and validate the quality of data gathered from various sources and used for predictive modeling and analysis.
  • Prepare and present deliverables, presentations, and reports that detail the performance of the multifamily residential and healthcare portfolios to internal team members as well as client.
  • Perform all analytical and modelling work in SAS.
  • Recommend ways to streamline work processes, improve internal controls, and adhere to modelling best practices.
Position Requirements
  • Experience with development of logistic regression and forecasting Monte-Carlo simulation models.
  • Knowledge of credit analysis, and experience with constructing and monitoring risk measures.
  • Sound knowledge of statistical/econometric concepts and strong analytical experience.
  • SAS coding skills preferable.
  • Good planning and organizational skills with the ability to prioritize effectively.
  • Excellent interpersonal skills and ability to communicate with a range of stakeholders, both verbally and in writing.
  • Ability to work in a team environment, to learn independently and self-motivate.
  • Focuses self and others on delivering on agreed upon goals within a specified time-frame.
Information Required from prospective candidates:
  1. A detailed resume which carefully answers all the requirements detailed above.
  2. Salary requirements.
  3. Must be a USA citizen or Green Card Holder in order to secure clearance
  4. Principals only.
Please apply within. Be sure to include resume and salary requirement.

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