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Hourly Credit Risk Modeling Jobs in Dallas, TX (NOW HIRING)

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 · 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 ...

Citigroup, Inc.

Credit Risk Group Manager

Irving, TX · On-site

$188K/yr

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 ...

USAA

Lead Analyst, Credit Risk Strategy

Plano, TX · On-site

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 ...

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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Hourly Credit Risk Modeling information

What is hourly credit risk modeling?

Hourly credit risk modeling is the process of assessing and predicting the likelihood of a borrower defaulting on their financial obligations, with risk evaluated and updated on an hourly basis. This approach is often used by financial institutions and fintech companies that require real-time credit risk analysis for instant lending decisions or ongoing portfolio monitoring. By utilizing real-time data and advanced analytics, hourly credit risk modeling enables lenders to respond quickly to changes in a borrower's financial behavior or external market conditions. This leads to more accurate risk assessments and helps institutions manage their exposure more effectively.

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

AspectHourly Credit Risk ModelingCredit Analyst
Primary FocusDeveloping and implementing credit risk models to assess borrower riskAnalyzing credit data to evaluate creditworthiness of individuals or companies
Required SkillsStatistical analysis, modeling, programming, financial analysisFinancial analysis, credit report review, communication skills
Work EnvironmentFinancial institutions, consulting firms, often project-basedBanks, lending institutions, credit departments
CertificationsOften requires CFA, FRM, or similar certificationsTypically requires finance or accounting degrees; certifications like CFA are common

Hourly Credit Risk Modeling involves creating quantitative models to predict credit risk, often requiring advanced statistical and programming skills. Credit Analysts focus on evaluating individual credit data to make lending decisions. While both roles require financial knowledge and may share certifications, their core responsibilities differ: one is model development, the other is credit evaluation.

What are the key skills and qualifications needed to thrive as an hourly credit risk modeler, and why are they important?

To thrive as an Hourly Credit Risk Modeler, you need strong quantitative skills, a background in finance, economics, mathematics, or statistics, and experience with credit risk principles. Familiarity with statistical software such as SAS, R, or Python, as well as knowledge of risk modeling frameworks and regulatory requirements, is typically required. Analytical thinking, attention to detail, and effective communication are crucial soft skills for interpreting data and presenting findings to stakeholders. These skills are essential for accurately assessing credit risk, supporting sound decision-making, and ensuring regulatory compliance in financial institutions.

How does an hourly credit risk modeling professional typically collaborate with other departments within a financial institution?

Hourly Credit Risk Modeling professionals often work closely with teams such as underwriting, data analytics, and IT to ensure credit risk models are accurate and actionable. They may participate in cross-functional meetings to discuss model performance, share insights from data analysis, and implement feedback from business stakeholders. Collaboration is key, as their models directly influence lending decisions, risk management strategies, and regulatory compliance. Regular communication with colleagues helps ensure that risk models stay aligned with evolving business needs and regulatory requirements.

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 Hourly Credit Risk Modeling jobs in Dallas, TX?

For Hourly Credit Risk Modeling jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Hourly Credit Risk Modeling jobs in Dallas, TX look for?

The top searched job categories for Hourly Credit Risk Modeling jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Hourly Credit Risk Modeling jobs?

Cities near Dallas, TX with the most Hourly Credit Risk Modeling job openings:

Hourly Credit Risk Modeling jobs near you
Infographic showing various Hourly Credit Risk Modeling job openings in Dallas, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Manager Credit Risk

Regional Finance

Plano, TX • On-site

Full-time

Re-posted 9 days ago

Regional Finance rating

6.9

Company rating: 6.9 out of 10

Based on 30 frontline employees who took The Breakroom Quiz

133rd 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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