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Remote Credit Risk Modeling Jobs (NOW HIRING)

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 ...

$93K - $189K/yr

The ideal candidate is a proven credit risk manager with an exceptional delivery track record ... Understanding of application of credit and behavioral models within a scored originations ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... May execute or support implementation of credit and/or financial modeling infrastructure. * Ensures ...

May work in one of five disciplines, each responsible for a different type of modeling: 1) Credit ... Remote work may be permitted within a commutable distance from the worksite. REQUIREMENTS: Master ...

Credit Risk Analytics Manager I

Plano, TX · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... May execute or support implementation of credit and/or financial modeling infrastructure. * Ensures ...

... risk and credit policies, supervising credit evaluation models, and ensuring adherence to ... Benefits * Remote working If you are a visionary leader with a passion for leveraging AI to ...

Credit Risk Analytics Manager I

Plano, TX · On-site +1

$103K - $197K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... May execute or support implementation of credit and/or financial modeling infrastructure. * Ensures ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... May execute or support implementation of credit and/or financial modeling infrastructure. * Ensures ...

Build and productionize machine learning models for credit risk and fraud detection * Design real ... remote with async-friendly culture * Health, dental, vision coverage + 401(k) * Unlimited PTO and ...

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Remote Credit Risk Modeling information

See salary details

$124.5K

$145.1K

$187.5K

How much do remote credit risk modeling jobs pay per year?

As of Jul 16, 2026, the average yearly pay for remote credit risk modeling in the United States is $145,100.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,500.00 and $148,500.00 per year, depending on experience, location, and employer.

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.
More about Remote Credit Risk Modeling jobs
What cities are hiring for Remote Credit Risk Modeling jobs? Cities with the most Remote Credit Risk Modeling job openings:
What are the most commonly searched types of Credit Risk Modeling jobs? The most popular types of Credit Risk Modeling jobs are:
What states have the most Remote Credit Risk Modeling jobs? States with the most job openings for Remote Credit Risk Modeling jobs include:
Infographic showing various Remote Credit Risk Modeling job openings in the United States as of July 2026, with employment types broken down into 84% Full Time, and 16% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $145,100 per year, or $69.8 per hour.
Credit Risk Manager/Senior Analyst

Credit Risk Manager/Senior Analyst

Thrive Financial, Inc

Domestic, IN • Remote

Full-time

Re-posted 11 days ago


Job description

At Thrive Financial, Credit Risk Managers/Analysts have the opportunity to shape business outcomes through actionable, data-driven insights as the company is in high growth mode. This role is for someone who is able to apply analytics in an environment of ambiguity and incomplete ownership and loves working cross functionally.  You are a data nerd who is passionate about leveraging AI and automation for analytics, a relationship builder, and you know how to weigh risk against opportunity.  This role will be foundational in continuing to optimize the Thrive credit policy.
You have the right background if you
  • Have three or more years working in a lending analytics roles with at least two years spent working in a risk environment where the consumer credit risk isn’t the whole story

  • Have earned increased responsibility or promotions through performance, not tenure

  • Have worked in an early-stage company (or equivalent environment) where structure was minimal and initiative mattered, or can clearly demonstrate that you’ve succeeded without heavy process or support

  • Are comfortable wearing multiple hats today, with an eye toward building and leading a team in the future

  • You are a SQL and/or Python wizard

  • Are passionate about leveraging AI and automation to build lean and scalable risk analytics programs

How you approach the role
  • You are hands-on by default - excited to dive into consumer data, solve real problems, and deliver tangible value

  • You naturally look for patterns and gaps, and feel compelled to create structure where none exists

  • You balance empathy and accountability, building trust while driving outcomes

  • You are energized by growth (both personal and organizational) and want to level up into people leadership over time

What You Will Do
  • Build out analytics and procedures to monitor credit performance and uncover opportunities to protect Thrive’s bottom line 

  • Produce reporting and dashboards that effectively communicate credit risk trends to a variety of stakeholders

  • Monitor and enhance credit underwriting models 

  • Update loss forecasting estimates and analyze portfolio profitability

  • Identify improvements for more efficient customer underwriting to reduce friction while maintaining decision integrity 

  • Leverage automation and AI to drive more insights with less overhead

Why This Role
  • High-impact opportunity to shape risk strategy at an early stage - you are here to take us from 10 to 100 

  • Path to expanded scope and people leadership as the company scales

  • Mission-driven fintech focused on enabling responsible, accessible financing

  • Fully remote, highly collaborative environment with room to grow

At Thrive, our best teammates embody GRIT:
Get things done You are self-directed, proactive, and biased toward action. You don’t wait for perfect conditions to move forward.
Respect each other You lead with humility and empathy — whether working with contractors, teammates, or leadership.
Intellectual curiosity You ask thoughtful questions, seek context, and enjoy learning new industries, products, and customer needs in order to make practical, informed decisions.
Teamwork You believe the best results come from shared ownership, open communication, and learning together.
 
As a Credit Risk Manager/Senior Analyst, you also bring:
Trustworthiness You prioritize long-term relationships, follow through on commitments, and ensure alignment across stakeholders.
Collaboration You actively invite diverse perspectives and use them to arrive at better solutions — for customers and for the business.
Stewardship You approach your work with a servant mindset, focused on supporting contractors, teammates, and the broader mission of responsible financial access.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.