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Credit Risk Modeling Jobs in Texas (NOW HIRING)

You will engage in discussions ranging from foundational credit risk concepts to enterprise-wide, multi-product analytical solutions involving quantitative modeling, regulatory compliance, workflow ...

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Credit Risk Modeling information

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$25.1K

$95.5K

$179.8K

How much do credit risk modeling jobs pay per year?

As of Sep 4, 2026, the average yearly pay for credit risk modeling in Texas is $95,450.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,198.00 and $114,326.00 per year, depending on experience, location, and employer.

What is credit risk modeling?

A Credit Risk Modeling job involves developing statistical models and analytical techniques to assess the credit risk of individuals or businesses. Professionals in this role analyze financial data, borrower behavior, and economic trends to predict the likelihood of default and assist in making informed lending decisions. They use techniques such as logistic regression, machine learning, and Monte Carlo simulations to quantify risk. Credit risk modelers work closely with risk management teams, regulators, and financial institutions to ensure compliance with industry standards. Their insights help optimize loan approvals, set credit limits, and manage overall portfolio risk.

What are the typical daily responsibilities in credit risk modeling?

Professionals in Credit Risk Modeling spend their days developing and validating statistical models to assess the likelihood of credit defaults, analyzing large data sets to identify risk factors, and compiling detailed reports on their findings. They collaborate closely with data scientists, underwriters, credit analysts, and sometimes regulatory teams to ensure models meet business and compliance standards. Additionally, they often participate in meetings to discuss portfolio performance or proposed policy changes. This role involves a balance of technical analysis, documentation, and cross-functional communication, making it dynamic and integral to financial decision-making.

What are the key skills and qualifications needed to thrive in credit risk modeling?

To thrive in Credit Risk Modeling, you need strong analytical skills, proficiency in statistics and finance, and typically a degree in mathematics, statistics, economics, or a related field. Familiarity with programming languages like Python, R, or SAS, as well as experience using statistical modeling software and risk management platforms, are highly valued. Excellent communication, critical thinking, and collaborative abilities help translate complex data insights for stakeholders and work effectively within cross-functional teams. These skills are crucial for designing accurate risk models that inform sound lending decisions and maintain financial stability for organizations.

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 job categories do people searching Credit Risk Modeling jobs in Texas look for?

The top searched job categories for Credit Risk Modeling jobs in Texas are:

What cities in Texas are hiring for Credit Risk Modeling jobs?

Cities in Texas with the most Credit Risk Modeling job openings:

Infographic showing various Credit Risk Modeling job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $95,450 per year, or $45.9 per hour.

Manager, Risk Analytics/Modeling

Charles Schwab Corporation

Westlake, TX โ€ข On-site

$140 - $190/hr

Other

This job post hasย expired 2 days ago.ย Applications are no longer accepted.


Job description

Your Opportunity

At Schwab, youโ€™re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

The Asset Liability Management and Market Risk Modeling team within Corporate Treasury develops and maintains models that inform financial forecasting, market risk measurement, capital stress testing, and balance sheet strategy. As a Manager, ALM & Market Risk Modeling, you will serve as an individual contributor supporting fixed-income and mortgage modeling capabilities used to evaluate investment securities, loans, structured products, spreads, accumulated other comprehensive income, capital, and net interest income.

In this role, you will execute, monitor, test, and enhance AD&Co models and related analytics for agency and non-agency mortgage products, prepayment behavior, credit performance, asset-backed securities, option-adjusted spreads, fair value, income, and capital stress scenarios. You will apply analytical thinking and sound decision-making to assess model performance, investigate changes in results, conduct backtesting and benchmarking, and strengthen documentation, controls, and issue remediation.

Your work will help Schwab produce controlled, reliable, and insightful modeling outputs that support business-as-usual forecasting, market risk management, capital planning, and investment portfolio decisions. You will collaborate across Treasury, Finance, Investments, Risk, Capital Planning, and Model Risk Oversight, adapting your approach as priorities and market conditions evolve while clearly communicating model results, key drivers, production status, and emerging risks.

What you have

Required qualifications

  • Bachelorโ€™s degree in Applied Mathematics, Engineering, Finance, Economics, Statistics, Computer Science, or a related quantitative discipline
  • 3+ years of relevant professional experience, or an equivalent combination of professional experience and graduate study, in banking, balance sheet management, asset liability management, market risk, or capital stress testing
  • Experience using in-house or third-party prepayment models, including AD&Co or a comparable platform, to support balance sheet management, financial forecasting, or stress testing
  • Knowledge of fixed-income modeling concepts, including duration, optionality, option-adjusted spreads, accumulated other comprehensive income, sensitivity analysis, and scenario-based risk analysis
  • Knowledge of mortgage prepayment behavior, including refinance incentives, burnout, turnover, seasonality, and borrower credit characteristics
  • Experience supporting model development and evaluation through feature selection, backtesting, performance monitoring, benchmarking, and model tuning
  • Experience using Python, SQL, Microsoft Excel, or comparable analytical tools for data analysis, model monitoring, workflow automation, and controlled evidence retention
  • Ability to apply analytical thinking, problem solving, and attention to detail when evaluating model results, identifying risks, and escalating issues in a controlled environment

Preferred qualifications

  • Advanced degree in a quantitative or technical discipline
  • CFA, FRM, PRM, or a comparable professional designation
  • Experience with capital stress testing, including Comprehensive Capital Analysis and Review or company-run stress testing processes
  • Experience developing or supporting models for asset-backed securities, mortgage products, structured finance, spreads, option-adjusted spreads, fair value, income, or accumulated other comprehensive income
  • Experience establishing and executing model controls, including input reviews, output reasonableness checks, sensitivity analysis, documentation, and evidence retention
  • Experience supporting model validation, regulatory or internal audits, issue remediation, and audit readiness
  • Ability to interpret complex analytical results, identify meaningful drivers of change, and communicate conclusions clearly to technical and nontechnical stakeholders
  • Demonstrated adaptability when managing multiple priorities, responding to changing assumptions, and solving problems with incomplete or evolving information
  • Ability to build collaborative relationships across Treasury, Finance, Investments, Risk, Capital Planning, and Model Risk Oversight

In addition to the salary range, this role is eligible for bonus or incentive opportunities.

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