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Internship Credit Risk Modeling Jobs in Dallas, TX

Regional Finance

Manager Credit Risk

Plano, TX · On-site

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 ...

Regional Finance

Manager Credit Risk

Plano, TX

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 ...

Braviant Holdings

Senior Credit Risk Analyst

Dallas, TX · On-site

Strong experience with Python for data analysis and modeling * Working knowledge of credit risk concepts: scorecards, vintage analysis, delinquency curves, loss forecasting * Ability to communicate ...

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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 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:
Internship Credit Risk Modeling jobs near you
Manager Credit Risk

Manager Credit Risk

Regional Finance

Plano, TX • On-site

Full-time

Posted 18 days ago

Regional Finance rating

6.9

Company rating: 6.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

132nd of 150 rated financial services

Job description

Take your career to the next level! In the last few years our goal has been expansion, creating growth opportunities for many of our team members. Not only are we serious about growth, but we are also serious about helping our customers during hard financial times.
We take pride in providing solutions and offering a helping hand, not only to our customers but also to the communities we serve. As we continue to expand and grow into a national leader in consumer financing, we invite you to consider joining our team.
If you're passionate about making a meaningful impact in people's lives and bringing a personal touch to finance, we'd love to have you on board!
Job purpose
The Manager, Credit Risk is responsible for performance analysis, operational reporting, and business unit support for the Risk Management organization within Regional Management. This positions will utilize advance skills to analyze data, portfolio level performance trends, custom scorecard analysis, and forecasting skills to support credit risk functions.
Duties and responsibilities
  • 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 modeling techniques: linear/logistic regression, factor analysis, decision trees, clustering, segmentation, etc.
  • Quantitative analysis of custom score models including , validation, ongoing- performance monitoring, and documentation
  • Develops and supports complex models, analysis, and reporting related to customer approval, pricing and profitability.
  • Forecasts performance of marketing campaigns and tracks actual campaign performance versus the forecast.
  • Conducts ad hoc research projects incorporating project design, data collection and analysis, summarization of findings, and presentation of results.
  • Handles data while utilizing interpretive and problem solving skills with the ability to process large volume of transaction level data and efficiently derive actionable results.
  • Interacts with stakeholders to understand their business questions, crafting the methodology, to mine/analyze datasets utilizing SAS and ultimately delivers a final insightful recommendations to stakeholders.

Minimum Qualifications
  • Master's degree in Statistics, Data Analytics, Economics, Math, or similar
  • 5+ years of consumer finance, risk analytics, or relevant experience
  • Experience in data mining, modeling and analyzing analytic findings using SAS.
  • Advanced programming skills in SAS and SQL.
  • Moderate to Expert level skills in Microsoft Office Suite (Excel, Access, and Outlook a must)
  • Must pass drug screen, criminal and credit background checks.

Preferred Qualifications
  • Experience in Financial Services with consumer credit data utilizing SAS.
  • Experience analyzing marketing data in a financial environment.
  • Experience developing risk models for a financial institution.

Critical Competencies
  • Excellent oral and written communication skills - especially the ability to explain complex analyses in easily understood terms.
  • Excellent organizational skills with the ability to prioritize and handle multiple tasks and responsibilities simultaneously.
  • Utilize appropriate analysis, judgment and logic when solving problems and making decisions.
  • Demonstrated ability to apply complex financial and statistical principles.
  • Effective written and verbal presentation skills; able to communicate well with Senior and Executive Management.
  • Innovative problem solving, quantitative and analytical abilities.
  • Detail-oriented.
  • Able to work with minimal supervision.
  • Flexible, proactive working style.
  • Adaptive to a team environment.

If you are a job applicant who resides in the state of California, please review our California Employee Privacy Policy at the following link: https://regionalfinance.com/wp-content/uploads/2022/11/UPDATED-Employee-Privacy-Policy-11.2022.pdf
Regional is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, national origin, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, transgender status, age, disability, genetic information, veteran status, uniform service, or any other characteristic protected by applicable law ("Protected Characteristics"). Regional's policy of non-discrimination applies to all phases of the employment process and relationship, including, but not limited to, recruitment and selection; compensation and benefits; professional development and training; promotions and opportunities; transfers; social and recreational programs; layoff; and terminations.

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