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Remote Credit Risk Modeling Jobs in Tennessee (NOW HIRING)

Stellar IT Group

Sr. Program Manager

Knoxville, TN · On-site

$110K - $111K/yr

Knoxville, TN (Remote + Some Travel) Interview: Virtual Job Duration: 6+ Months Overview: We are ... Manage high-risk, manual or semi-manual deployments * Perform advanced risk identification and ...

Ankura

Model Validation Director

Nashville, TN · On-site +1

... risk assessment/rating, fraud detection and watchlist screening/interdiction systems ... Ideally this role will be hybrid based out of one of our locations; however, remote locations will ...

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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

Sr. Program Manager

Stellar IT Group

Knoxville, TN • On-site

$110K - $111K/yr

Full-time

Posted 4 days ago

Job description

Overview:
Job Title: Sr. Program Manager
Job Location: Knoxville, TN (Remote + Some Travel)
Interview: Virtual
Job Duration: 6+ Months
Overview:
We are seeking a Release & Cutover Program Manager to lead enterprise-scale production deployments and go-lives for revenue-critical systems. This role requires proven ownership of multi-system cutovers, high-stakes go/no-go decision-making, and the ability to deliver in ambiguous environments where requirements may evolve during execution.
Key Responsibilities:
  • Lead enterprise-scale cutovers and go-lives, including release readiness, go/no-go decisions, and post-launch stabilization
  • Own multi-system dependencies across platforms such as Salesforce, pricing engines, billing, data platforms, and legacy system coexistence
  • Manage high-risk, manual or semi-manual deployments
  • Perform advanced risk identification and mitigation, translating technical issues into business and revenue impact
  • Provide clear recommendations and tradeoffs to executives, and push back on timelines when readiness is insufficient
  • Deliver in ambiguous, evolving environments where full requirements may not be defined upfront
  • Operate within formal governance and release disciplines (enterprise PMO, regulated or revenue-critical systems)
  • Make release-day decisions including handling failed readiness or rollback scenarios

Required Skills & Experience
  • Proven experience leading enterprise-scale cutovers and go-lives, including release readiness, go/no-go decisions, and post-launch stabilization
  • Strong ownership of multi-system dependencies across platforms such as Salesforce, pricing engines, billing, data platforms, and legacy system coexistence
  • Demonstrated ability to manage high-risk, manual or semi-manual deployments
  • Advanced risk identification and mitigation, with the ability to translate technical issues into business and revenue impact
  • Strong executive communication skills-able to provide clear recommendations, tradeoffs, and push back on timelines when readiness is insufficient
  • Comfortable delivering in ambiguous, evolving environments where full requirements may not be defined upfront
  • Experience operating within formal governance and release disciplines (enterprise PMO, regulated or revenue-critical systems)
  • Must be able to discuss specific release-day decisions personally owned, including handling failed readiness or rollback scenarios

Preferred / Nice to Have
  • Domain experience in pricing, billing, credit, customer onboarding, or GTM-supporting systems
  • Familiarity with tools such as Jira, Confluence, Smartsheet
  • Exposure to scaled agile or program-level delivery models
  • Experience coordinating with change management or business readiness teams
  • Exposure to AI-enabled or data-driven platform initiatives

Skills:
Project Management Skills

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