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Remote Credit Risk Modeling Jobs in Nevada (NOW HIRING)

Great Gray currently supports a hybrid work model with 4 days onsite, and 1 day remote. Working ... Monitor and analyze client adoption and engagement data; proactively identify risk and develop ...

Great Gray currently supports a hybrid work model with 4 days onsite, and 1 day remote. Working ... Monitor and analyze client adoption and engagement data; proactively identify risk and develop ...

Strong risk management skills and high commercial acumen to understand business drivers ... We pioneered online 'Social Plus' games - a freemium model whereby games are available to play at ...

Strong risk management skills and high commercial acumen to understand business drivers ... We pioneered online 'Social Plus' games - a freemium model whereby games are available to play at ...

IT Manager

Las Vegas, NV · On-site +1

$87K - $106K/yr

With a dynamic culture that is bolstered by driven employees and the ATS Business Model (ABM), ATS ... Support remote work infrastructure and policies. * Communicate IT strategy, risks, and performance ...

IT Manager

Las Vegas, NV · On-site +1

$90K - $111K/yr

With a dynamic culture that is bolstered by driven employees and the ATS Business Model (ABM), ATS ... Support remote work infrastructure and policies. * Communicate IT strategy, risks, and performance ...

... risk assessment and sales strategies (identify, prioritize, and develop strategies). Provide ... This role can be remote in the United States and supports the Motion Drive Products Division in New ...

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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.
What are popular job titles related to Remote Credit Risk Modeling jobs in Nevada? For Remote Credit Risk Modeling jobs in Nevada, the most frequently searched job titles are:
What job categories do people searching Remote Credit Risk Modeling jobs in Nevada look for? The top searched job categories for Remote Credit Risk Modeling jobs in Nevada are:
What cities in Nevada are hiring for Remote Credit Risk Modeling jobs? Cities in Nevada with the most Remote Credit Risk Modeling job openings:

Quality Engineer, AI-Native

Libra Solutions

Las Vegas, NV • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

About Us
When life gets hard, we make it easier! Libra Solutions helps overcome the burdens created by slow-moving legal processes. Combining technical innovation and financial strength, we help speed up cumbersome workflows and ease financial barriers for our customers.
Through the MoveDocs personal injury solutions platform, Libra integrates and streamlines medical, financial, and professional services for personal injury cases. Our mission is to help personal injury victims receive the medical care and personal funding needs they require, and to help streamline the process for the attorneys and medical providers that serve these victims. Libra operates under the MoveDocs, Oasis Financial and Probate Advance brands. We are proud of our mission and passionate about applying technology to the challenge of making healthcare more accessible.
Together, under the Libra Solutions banner, we have relationships with over 50,000 attorneys and over 12,000 healthcare providers nationwide, which gives us an amazing platform to service our customers.
Job description
The Quality Engineer, AI-Native is a core contributor on the quality engineering team, responsible for designing and owning automated test coverage across API, UI, and integration layers within Libra Solutions' AI-native delivery model. This role requires hands-on automation expertise and the ability to operate effectively as the quality safeguard in an agentic engineering environment - where AI agents contribute to code and test generation at scale and engineers own the judgment, coverage depth, and quality standards that define what ships
This position reports to the Manager, Quality Engineering and can be based in any of our office locations in Denver, CO, Huntersville, NC, Rosemont, IL, or Las Vegas, NV. We welcome strong remote candidates, with occasional travel to Las Vegas as needed.
Position Responsibilities:
  • Design, implement, and maintain automated UI and end-to-end test suites using Playwright / TypeScript, covering critical user workflows across React and Angular front-end applications
  • Write automated API tests against C# / ASP.NET Core REST endpoints using TypeScript HTTP client libraries or C# / xUnit / NUnit test projects; validating request contracts, response schemas, business logic, and error handling
  • Build and maintain integration tests that validate service-to-service interactions and data flows across the application stack, including SQL Server / Azure SQL data validation
  • Contribute to test data strategy for the squad's automated suites: design repeatable, isolated data setup and teardown that enables reliable parallel test execution
  • Use AI-assisted tools (GitHub Copilot, Claude) with structured prompts to accelerate test scaffolding and test generation across API, UI, and integration layers
  • Critically evaluate all AI-generated tests before committing - review for coverage completeness, assertion quality, and absence of false confidence
  • Work within Libra's agentic engineering model: AI agents accelerate code generation at scale; QEs own the quality judgment that determines what ships
  • Contribute to Azure DevOps CI/CD pipelines, ensuring automated suites run as mandatory quality gates on every build with actionable pass/fail signal
  • Identify, document, and track bugs/defects in Jira with clear reproduction steps and test evidence; partner with engineers to drive timely resolution
  • Participate in sprint ceremonies and contribute to test planning, risk assessment, and acceptance criteria definition alongside the Technical Product Owner
  • Partner with offshore QE engineers on the squad to scope test cases clearly, provide review feedback, and maintain shared quality standards

Requirements
  • Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent professional experience
  • 2+ years of hands-on test automation experience writing code-based test suites
  • Proficiency in Playwright and TypeScript for UI and end-to-end test automation
  • Experience writing automated API tests in code (TypeScript HTTP clients, C# / xUnit / NUnit, or equivalent), not just exploratory API testing with Postman
  • Working knowledge of C# / .NET applications as the system under test; ability to read C# code to understand expected behavior
  • Familiarity with SQL Server or Azure SQL for data validation within automated tests
  • Experience integrating automated tests into Azure DevOps CI/CD pipelines as quality gates
  • Hands-on experience with AI tools (GitHub Copilot, Claude, ChatGPT) for test scaffolding, test data generation, and defect analysis
  • Understanding of the QE role in an agentic delivery model: able to adapt test strategy and coverage to environments where AI agents contribute significantly to code generation, with heightened focus on validation depth, assertion quality, and critical evaluation of AI-generated test output
  • Creative problem-solving and troubleshooting skills
  • Self-motivated, ownership-oriented, and technically precise; treats test reliability as a first-class concern
  • Must be authorized to work in the U.S

Benefits
Libra Solutions offers competitive compensation and benefits that include medical, dental, vision and life insurance plans, plus a 401k match and paid time off.