Analyze, monitor, and assess model risk associated with the development and implementation of counterparty credit risk models used in Prime Brokerage and Clearing across a wide range of assets ...
Analyze, monitor, and assess model risk associated with the development and implementation of counterparty credit risk models used in Prime Brokerage and Clearing across a wide range of assets ...
This role ensures the company's credit policies, models, and risk decisioning frameworks are data-driven, forward-looking, and aligned with the organization's growth, profitability, and compliance ...
This role ensures the company's credit policies, models, and risk decisioning frameworks are data-driven, forward-looking, and aligned with the organization's growth, profitability, and compliance ...
Analyze, monitor, and assess model risk associated with the development and implementation of counterparty credit risk models used in Prime Brokerage and Clearing across a wide range of assets ...
Analyze, monitor, and assess model risk associated with the development and implementation of counterparty credit risk models used in Prime Brokerage and Clearing across a wide range of assets ...
Analyze, monitor, and assess model risk associated with the development and implementation of counterparty credit risk models used in Prime Brokerage and Clearing across a wide range of assets ...
Analyze, monitor, and assess model risk associated with the development and implementation of counterparty credit risk models used in Prime Brokerage and Clearing across a wide range of assets ...
Sr. Credit Analyst
Frisco, TX · On-site
Experience with credit risk modeling and statistical analysis. Responsibilities: * Conduct comprehensive financial analysis of clients to assess credit risk and determine credit limits. * Review and ...
Sr. Credit Analyst
Frisco, TX · On-site
Experience with credit risk modeling and statistical analysis. Responsibilities: * Conduct comprehensive financial analysis of clients to assess credit risk and determine credit limits. * Review and ...
This role ensures the company's credit policies, models, and risk decisioning frameworks are data-driven, forward-looking, and aligned with the organization's growth, profitability, and compliance ...
This role ensures the company's credit policies, models, and risk decisioning frameworks are data-driven, forward-looking, and aligned with the organization's growth, profitability, and compliance ...
Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling ...
Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling ...
Director Credit Risk
Plano, TX · On-site
Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling ...
Director Credit Risk
Plano, TX · On-site
Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling ...
This role ensures the company's credit policies, models, and risk decisioning frameworks are data-driven, forward-looking, and aligned with the organization's growth, profitability, and compliance ...
This role ensures the company's credit policies, models, and risk decisioning frameworks are data-driven, forward-looking, and aligned with the organization's growth, profitability, and compliance ...
Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling ...
Mine, model, analyze large datasets, and utilize predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive modeling ...
Risk Management Analyst
$70K - $85K/yr
Develop and maintain risk models, reports, and dashboards to support decision-making * Monitor credit risk, operational risk, and compliance-related exposures * Collaborate with underwriting ...
Quick apply
Risk Management Analyst
$70K - $85K/yr
Develop and maintain risk models, reports, and dashboards to support decision-making * Monitor credit risk, operational risk, and compliance-related exposures * Collaborate with underwriting ...
Progressive experience with the internal ICM Templates and with financial modeling Qualifications ... Credit Risk Time Type: Full time Primary Location: Irving Texas United States Primary Location ...
Progressive experience with the internal ICM Templates and with financial modeling Qualifications ... Credit Risk Time Type: Full time Primary Location: Irving Texas United States Primary Location ...
Minimum of eight (8) years' experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry. * Minimum of three (3) years of supervisory / assistant ...
Minimum of eight (8) years' experience in credit risk policy & analysis, credit risk management or modeling in the financial services industry. * Minimum of three (3) years of supervisory / assistant ...
Why Credit Risk Analytics? GM Financial is the wholly owned captive finance subsidiary of General ... Experience with respect to data analysis and spreadsheet modeling and/or reporting * Experience ...
Why Credit Risk Analytics? GM Financial is the wholly owned captive finance subsidiary of General ... Experience with respect to data analysis and spreadsheet modeling and/or reporting * Experience ...
The Opportunity As a dedicated Bank Credit Risk Lead Analyst, you will leverage advanced analytics ... May have model ownership responsibilities and drive accountability for quantitative model ...
The Opportunity As a dedicated Bank Credit Risk Lead Analyst, you will leverage advanced analytics ... May have model ownership responsibilities and drive accountability for quantitative model ...
The Opportunity As a dedicated Bank Credit Risk Lead Analyst, you will leverage advanced analytics ... May have model ownership responsibilities and drive accountability for quantitative model ...
The Opportunity As a dedicated Bank Credit Risk Lead Analyst, you will leverage advanced analytics ... May have model ownership responsibilities and drive accountability for quantitative model ...
Finalize the financial data models for portfolios by working with credit risk stakeholders / customers * Identify new tech features or enhancements required for implementing the data models
Finalize the financial data models for portfolios by working with credit risk stakeholders / customers * Identify new tech features or enhancements required for implementing the data models
Finalize the financial data models for portfolios by working with credit risk stakeholders / customers * Identify new tech features or enhancements required for implementing the data models
Finalize the financial data models for portfolios by working with credit risk stakeholders / customers * Identify new tech features or enhancements required for implementing the data models
Responsibilities About the role Risk Analyst II - Credit Risk Analytics is responsible for ... Experience with respect to data analysis and spreadsheet modeling and/or reporting * Experience ...
Responsibilities About the role Risk Analyst II - Credit Risk Analytics is responsible for ... Experience with respect to data analysis and spreadsheet modeling and/or reporting * Experience ...
Experience with respect to data analysis and spreadsheet modeling and/or reporting * Experience ... The position involves conducting analysis to mitigate credit risk, create and monitor credit policy ...
Experience with respect to data analysis and spreadsheet modeling and/or reporting * Experience ... The position involves conducting analysis to mitigate credit risk, create and monitor credit policy ...
Credit Risk Modeling information
See Dallas, TX salary details
$123.6K - $129.3K
17% of jobs
$131.6K is the 25th percentile. Wages below this are outliers.
$129.3K - $135K
20% of jobs
The median wage is $138.9K / yr.
$135K - $140.7K
19% of jobs
$140.7K - $146.4K
19% of jobs
$146.5K is the 75th percentile. Wages above this are outliers.
$146.4K - $152.1K
13% of jobs
$152.1K - $157.7K
2% of jobs
$157.7K - $163.4K
2% of jobs
$163.4K - $169.1K
2% of jobs
$169.1K - $174.8K
2% of jobs
$174.8K - $180.5K
2% of jobs
$180.5K - $186.2K
2% of jobs
$123.6K
$144.1K
$186.2K
How much do credit risk modeling jobs pay per year?
As of Jun 9, 2026, the average yearly pay for credit risk modeling in Dallas, TX is $144,078.00, according to ZipRecruiter salary data. Most workers in this role earn between $131,600.00 and $147,500.00 per year, depending on experience, location, and employer.
What is a Credit Risk Modeling job?
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 key skills and qualifications needed to thrive in the Credit Risk Modeling position, and why are they important?
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 typical daily responsibilities for someone working 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 most commonly searched types of Credit Risk Modeling jobs in Dallas, TX? The most popular types of Credit Risk Modeling jobs in Dallas, TX are:
What are popular job titles related to Credit Risk Modeling jobs in Dallas, TX? For Credit Risk Modeling jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Credit Risk Modeling jobs in Dallas, TX look for? The top searched job categories for Credit Risk Modeling jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Credit Risk Modeling jobs? Cities near Dallas, TX with the most Credit Risk Modeling job openings:
Full-time
Posted 6 days ago
Goldman Sachs rating
8.3
Based on 25 frontline employees who took The Breakroom Quiz
29th of 141 rated banks
Job description
Job Description
Job Duties: Associate, Model Risk with Goldman Sachs & Co. LLC in Dallas, Texas. Analyze, monitor, and assess model risk associated with the development and implementation of counterparty credit risk models used in Prime Brokerage and Clearing across a wide range of assets including equities, crypto, commodities, FX and credit. Assess model implementation risk by analyzing implementation code and reviewing all associated changes. Verify the conceptual soundness of models and their mathematical and statistical correctness. Examine code implementation in a variety of platforms including C++, Java, Python, or R. Document the entire validation fieldwork in Latex files for automated version controls and report major validation findings to model owners and developers for remedial action. Provide timely updates as required to meet requirements set out in regulatory exams. Monitor the performance of the Firm's counterparty credit risk models and investigate major model-related incidents. Team with Risk governance, and other federation groups to address any counterparty credit risk model-related issues or new regulatory compliance requirements. Advise senior management on the risks associated with new initiatives and changes to existing counterparty credit risk models.
Job Requirements: Master's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field and one (1) year of experience in the job offered or in a related role OR Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field and three (3) year of experience in the job offered or in a related role. Prior experience must include one (1) year of experience with Master's degree or three (3) years of experience with Bachelor's degree with the following: working with Counterparty Credit Risk Models; performing-testing analysis of statistical models to assess their consistency and performance against historical data; scripting with Python and working with relational databases and SQL for data extraction and processing; pricing and risk analysis of derivative products including futures, options and swaps; performing model development, testing, validation, and issue remediation throughout the model life cycle; and writing formal version-controlled validation reports using LaTex, including equations and tables.
©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
Job Duties: Associate, Model Risk with Goldman Sachs & Co. LLC in Dallas, Texas. Analyze, monitor, and assess model risk associated with the development and implementation of counterparty credit risk models used in Prime Brokerage and Clearing across a wide range of assets including equities, crypto, commodities, FX and credit. Assess model implementation risk by analyzing implementation code and reviewing all associated changes. Verify the conceptual soundness of models and their mathematical and statistical correctness. Examine code implementation in a variety of platforms including C++, Java, Python, or R. Document the entire validation fieldwork in Latex files for automated version controls and report major validation findings to model owners and developers for remedial action. Provide timely updates as required to meet requirements set out in regulatory exams. Monitor the performance of the Firm's counterparty credit risk models and investigate major model-related incidents. Team with Risk governance, and other federation groups to address any counterparty credit risk model-related issues or new regulatory compliance requirements. Advise senior management on the risks associated with new initiatives and changes to existing counterparty credit risk models.
Job Requirements: Master's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field and one (1) year of experience in the job offered or in a related role OR Bachelor's degree (U.S. or foreign equivalent) in Mathematics, Computer Science, Financial Engineering, Industrial Engineering or related field and three (3) year of experience in the job offered or in a related role. Prior experience must include one (1) year of experience with Master's degree or three (3) years of experience with Bachelor's degree with the following: working with Counterparty Credit Risk Models; performing-testing analysis of statistical models to assess their consistency and performance against historical data; scripting with Python and working with relational databases and SQL for data extraction and processing; pricing and risk analysis of derivative products including futures, options and swaps; performing model development, testing, validation, and issue remediation throughout the model life cycle; and writing formal version-controlled validation reports using LaTex, including equations and tables.
©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.
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About Goldman Sachs
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At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world. We believe who you are makes you better at what you do. We're committed to fostering and advancing diversity and inclusion in our own workplace and beyond by ensuring every individual within our firm has a number of opportunities to grow professionally and personally, from our training and development opportunities and firmwide networks to benefits, wellness and personal finance offerings and mindfulness programs.
Industry
Finance and insurance
Company size
10,000+ Employees
Headquarters location
New York, NY, US
Year founded
1869