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Internship Credit Risk Modeling Jobs in Dallas, TX

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 ...

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 ...

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 ...

Develop and maintain risk models, reports, and dashboards to support decision-making * Monitor credit risk, operational risk, and compliance-related exposures * Collaborate with underwriting ...

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Internship Credit Risk Modeling information

What are the key skills and qualifications needed to thrive as an Internship Credit Risk Modeling, and why are they important?

To thrive as an Internship Credit Risk Modeling, you generally need strong quantitative and analytical skills, a background in finance, statistics, or a related field, and familiarity with risk concepts. Experience with statistical programming languages such as Python, R, or SAS, and proficiency in Excel or SQL, are commonly required, and relevant coursework or certifications in risk management or data analysis are advantageous. Attention to detail, critical thinking, and effective communication help interns stand out when interpreting data and presenting risk findings. These skills are important to ensure accurate risk assessments, support data-driven decision-making, and facilitate collaboration within financial institutions.

What types of projects or tasks can I expect to work on during an Internship in Credit Risk Modeling?

As an intern in Credit Risk Modeling, you'll typically assist with statistical analysis, data preparation, and validation of risk models used by the organization to evaluate creditworthiness. You may support senior analysts in building or refining predictive models using programming languages like Python or R, and work with large datasets to uncover trends in borrower behavior. Interns often collaborate with risk analysts, data scientists, and IT teams, gaining exposure to both technical and business perspectives. This hands-on experience helps build a solid foundation for a future career in quantitative finance or risk management.

What is the difference between Internship Credit Risk Modeling vs Credit Risk Analyst?

AspectInternship Credit Risk ModelingCredit Risk Analyst
CredentialsTypically pursuing or recent graduate, some familiarity with finance or statisticsBachelor's degree in finance, economics, or related field; often requires some experience
Work EnvironmentInternship setting, supervised, project-basedFull-time, professional environment, more independent responsibilities
Industry UsageEntry-level, educational focus, training periodCore role in financial institutions, ongoing risk assessment

Internship Credit Risk Modeling positions are designed for students or recent graduates gaining initial experience, often with supervised tasks. Credit Risk Analysts are experienced professionals responsible for ongoing risk evaluation, requiring more advanced skills and independence. The internship serves as a training ground, while the analyst role involves continuous risk management in financial institutions.

What is an Internship in Credit Risk Modeling?

An Internship in Credit Risk Modeling is a temporary position, usually for students or recent graduates, where you work with financial institutions to understand and help develop models that predict the likelihood of borrowers defaulting on loans. Interns typically assist in analyzing data, building statistical models, and supporting risk assessment processes. This role provides hands-on experience with financial data, programming, and model validation, making it valuable for those interested in finance, statistics, or data science. It also offers exposure to regulatory requirements and real-world risk management practices.
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 Internship Credit Risk Modeling jobs in Dallas, TX? For Internship Credit Risk Modeling jobs in Dallas, TX, the most frequently searched job titles are:
What cities near Dallas, TX are hiring for Internship Credit Risk Modeling jobs? Cities near Dallas, TX with the most Internship Credit Risk Modeling job openings:
Risk Division - Dallas - Associate, Model Risk- 4554990

Risk Division - Dallas - Associate, Model Risk- 4554990

Goldman Sachs, Inc.

Dallas, TX • On-site

Other

Posted 9 days ago


Goldman Sachs rating

8.3

Company rating: 8.3 out of 10

Based on 25 frontline employees who took The Breakroom Quiz

29th of 141 rated banks


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.


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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