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Internship Credit Risk Modeling Jobs in Dallas, TX

Support model risk oversight by reviewing model performance results, validation findings ... Support credit risk SOP governance by coordinating periodic reviews, identifying missing or ...

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Mines, models, analyzes large datasets, and utilizes predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive ...

Mines, models, analyzes large datasets, and utilizes predictive modeling techniques with an emphasis on optimizing credit risk and marketing campaign performance using the following predictive ...

Analyze forecasting models, debt rating models and ratings and execute remedial management action ... Credit Risk Job Family Group: Job Family: Time Type: Full time Primary Location: Irving Texas ...

Analyze forecasting models, debt rating models and ratings and execute remedial management action ... Credit Risk ----- Job Family Group: ----- Job Family: ----- Time Type: Full time ----- Primary ...

The Opportunity As a dedicated Bank Credit Risk Analyst Lead, you will have a strong background in ... May have model ownership responsibilities and drive accountability for quantitative model ...

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Internship Credit Risk Modeling information

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 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 are the key skills and qualifications needed to thrive as an internship in 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 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 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 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:

Infographic showing various Internship Credit Risk Modeling job openings in Dallas, TX as of August 2026, with employment types broken down into 90% Full Time, 5% Temporary, and 5% Contract. Highlights an 77% In-person, 14% Hybrid, and 9% Remote job distribution.

Sr. Credit Risk Governance Analyst

850 Elevate Credit Service, LLC

Addison, TX • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

General Summary The Sr. Credit Risk Governance Analyst is responsible for supporting and strengthening the organization's credit risk governance framework through independent oversight of credit decisioning, credit policy management and testing, credit risk process governance, retrospective credit reviews, and second-line model risk challenge activities.

This role partners with Credit Risk, Enterprise Risk Management, Compliance, Legal, Analytics, Operations, Technology, and vendor partners to assess whether credit strategies, policies, models, procedures, controls, and approval authorities are operating as intended and aligned with risk appetite, regulatory expectations, and internal governance standards.

The position develops governance reporting, identifies control gaps and emerging risk trends, supports issue escalation and remediation, maintains process documentation and SOP governance routines, and helps mature the credit risk control environment through durable, auditable, and consistently applied governance practices.

Principal Duties and Responsibilities Provide second-line oversight of the end-to-end credit decisioning process to assess alignment with approved credit policy, risk appetite, delegated authorities, governance standards, and applicable regulatory expectations. Execute credit policy testing and control reviews to validate consistent policy application, identify breaches, exceptions, control gaps, and emerging risk trends, and recommend remediation actions.

Maintain and support the credit policy framework, including policy inventory, approval workflows, exception monitoring, periodic review routines, version control, and documentation of policy changes. Provide independent challenge to credit risk models, strategies, scorecards, decision rules, assumptions, performance monitoring, and model governance documentation in coordination with Model Risk Management and Analytics.

Support model risk oversight by reviewing model performance results, validation findings, monitoring thresholds, implementation controls, issue remediation, and adherence to model risk management standards. Perform retrospective credit risk reviews to evaluate decision quality, policy adherence, adverse trends, override activity, exception activity, customer outcomes, and root causes of credit performance or control issues.

Develop and maintain credit risk standard operating procedures, process maps, control inventories, governance documentation, job aids, and review routines to support consistent execution and audit readiness. Development and maintenance of credit risk and collections process documentation, including process maps, policies, SOPs, RACI matrices, FMEAs, and other governance and operational documentation as needed.

Support credit risk SOP governance by coordinating periodic reviews, identifying missing or outdated procedures, promoting consistent documentation standards, and tracking remediation of procedure gaps.

Analyze governance results, credit decisioning trends, policy exceptions, model monitoring outputs, control gaps, and issue data to identify risks, root causes, and opportunities to strengthen the credit risk control environment. Prepare governance reporting, dashboards, committee materials, risk summaries, and executive-level updates that communicate credit risk themes, testing results, model oversight observations, and remediation progress.

Escalate material credit governance concerns, policy breaches, model risk observations, control weaknesses, or recurring process issues to appropriate governance forums and leadership stakeholders. Support audits, examinations, compliance reviews, model risk reviews, issue management activities, and governance inquiries by providing documentation, analysis, control evidence, and process explanations.

Monitor regulatory, business, product, and credit strategy changes to assess impacts to credit policies, decisioning controls, model governance, procedures, reporting, and oversight routines. Perform additional credit governance, enterprise risk management, and special project duties as assigned.

Experience and Education Bachelor's degree in business, finance, economics, risk management, data analytics, or a related field required; Master's degree or risk-related certification preferred. 5+ years of experience in financial services, credit risk, enterprise risk management, model risk management, compliance, audit, governance, analytics, or related risk oversight functions.

Experience with credit policy management, credit decisioning, credit risk controls, model governance, policy testing, process management, issue management, or second-line oversight is preferred.

Required

Skills, Abilities, Soft Skill Factors Strong understanding of credit risk management, credit decisioning strategies, credit policy governance, risk appetite, controls, and financial services regulatory expectations. Knowledge of model risk management concepts, including model validation, performance monitoring, assumptions, thresholds, implementation controls, and independent challenge practices.

Ability to execute policy testing, control reviews, retrospective reviews, root cause analysis, and governance assessments with accuracy, consistency, and appropriate documentation. Strong quantitative, analytical, problem-solving, and critical thinking skills with the ability to identify trends, synthesize data, and translate findings into clear governance recommendations. Strong process mapping, procedure development, control documentation, and issue tracking skills, with an emphasis on durable, auditable governance routines.

Effective written and verbal communication skills, including the ability to prepare executive-ready summaries, committee materials, risk reporting, testing results, and remediation updates. Ability to work independently as a senior individual contributor, manage multiple priorities, meet deadlines, and influence cross-functional partners without direct authority. High attention to detail, sound judgment, professional skepticism, and ability to challenge assumptions while maintaining productive stakeholder relationships.

Proficiency with Microsoft Office applications and familiarity with reporting, analytics, workflow, model monitoring, or governance tools is preferred. California Employee Privacy Policy | Family & Medical Leave Act | Employee Polygraph Protection Act |E-Verify #LI-BJ1 Elevate is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Welcome to Elevate Careers! Elevate was founded on a legacy of data and innovation coupled with a customer-first approach.

That's why we're committed to providing solutions for non-prime customers today, and have never lost sight of our purpose of helping them on their way to a better financial future. We call our approach "Good Today, Better Tomorrow."