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Remote Credit Risk Modeling Jobs in Texas (NOW HIRING)

Portfolio/Risk Specialist

Dallas, TX · On-site +1

$97K/yr

Identifies credit quality issues, potential portfolio risks and/or economic risk. * Monitors the ... Consistently model high levels of professional demeanor and integrity Exempt Status: (Yes = not ...

Portfolio/Risk Specialist

Dallas, TX · On-site +1

$92K/yr

Identifies credit quality issues, potential portfolio risks and/or economic risk. * Monitors the ... Consistently model high levels of professional demeanor and integrity Exempt Status: (Yes = not ...

Senior Site Reliability Engineer II

Allen, TX · On-site +1

$104K - $174K/yr

... Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at ... Work Model: Hybrid (if near an office) or Fully Remote Employment Type: Full-time Department:

Senior Site Reliability Engineer II

Dallas, TX · On-site +1

$104K - $174K/yr

... Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at ... Work Model: Hybrid (if near an office) or Fully Remote Employment Type: Full-time Department:

This is a remote position with up to40% travel.The successful candidate mustresideneara major ... Ensure accuracy in portfolio-level renewal forecasting, revenue risk modeling, and contract ...

This is a remote position with up to 40% travel.The successful candidate must reside near a major ... Ensure accuracy in portfolio-level renewal forecasting, revenue risk modeling, and contract ...

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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 the most commonly searched types of Credit Risk Modeling jobs in Texas? The most popular types of Credit Risk Modeling jobs in Texas are:
What are popular job titles related to Remote Credit Risk Modeling jobs in Texas? For Remote Credit Risk Modeling jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Remote Credit Risk Modeling jobs? Cities in Texas with the most Remote Credit Risk Modeling job openings:
Senior Site Reliability Engineer II

Senior Site Reliability Engineer II

Lexisnexis Risk Solutions

Dallas, TX • On-site, Remote

$104K - $174K/yr

Full-time

Posted 2 days ago


Job description

About the Business:

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. You can learn more about LexisNexis Risk at the link below, https://risk.lexisnexis.com

About the Role:

We are hiring a hands-on Senior Site Reliability Engineer (SRE) to actively build, operate, and improve the reliability of our production systems. This is not a purely advisory role you will be directly involved in designing infrastructure, writing Terraform, improving observability, and responding to real production incidents.

If you live near one of our offices, you may work a hybrid schedule. If not, this role is fully remote. We do not restrict applicants based on job site or posting location.

Job Title: Senior Site Reliability Engineer (SRE)

Location: Open (U.S.-based). No job site restrictions.
Work Model: Hybrid (if near an office) or Fully Remote
Employment Type: Full-time
Department: Engineering / Infrastructure

What You'll Do
  • Design, build, and operate highly available, scalable systems in AWS

  • Write, maintain, and review Terraform to provision and manage infrastructure

  • Own and improve monitoring, alerting, and observability using Grafana, Pingdom, and Uptrends

  • Participate in a rotating on-call schedule, responding to production incidents and driving issues to resolution

  • Lead incident response, root cause analysis, and post-incident reviews with a focus on prevention and automation

  • Define and manage SLOs, SLIs, and error budgets

  • Build and improve CI/CD pipelines and operational workflows using Azure DevOps and GitHub

  • Work directly with application teams to improve reliability, performance, and deployability

  • Automate manual operational tasks to reduce toil

  • Maintain clear, actionable runbooks and documentation in Confluence

  • Track work, incidents, and operational improvements using Jira and ServiceNow

  • Mentor other engineers and help set SRE standards and best practices

Required Qualifications
  • 5+ years of hands-on experience in SRE, DevOps, or Infrastructure Engineering roles

  • Strong production experience in AWS

  • Required: Significant hands-on experience with Terraform in real-world environments

  • Experience operating monitoring and uptime platforms such as Grafana, Pingdom, and Uptrends

  • Strong Linux systems, networking, and troubleshooting skills

  • Experience supporting production systems through incident response and on-call rotations

  • Proficiency with GitHub and modern Git workflows

  • Experience building or maintaining CI/CD pipelines with Azure DevOps

  • Familiarity with ITSM and incident workflows using ServiceNow

  • Strong written communication skills with experience documenting systems and processes in Confluence

  • Ability to work independently in a remote or hybrid environment

Preferred Qualifications
  • Experience defining and operating against SLOs and error budgets

  • Infrastructure-as-Code best practices beyond Terraform (modules, testing, CI integration)

  • Experience with containers and orchestration (Docker, Kubernetes)

  • Experience supporting large-scale, high-availability production systems

  • Prior experience mentoring engineers or serving as a technical lead

What We Offer
  • Competitive salary and comprehensive benefits

  • Flexible work location with hybrid or fully remote options

  • Real ownership of production systems and reliability outcomes

  • A culture that values automation, learning, and continuous improvement

U.S. National Base Pay Range: $104,900 - $174,700. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.

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