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Credit Risk Data Science Jobs in Dallas, TX (NOW HIRING)

Regional Finance

Manager Credit Risk

Plano, TX · On-site

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 ...

Fifth Third

Credit Risk Officer II

Dallas, TX

Using both internal and external data to identify portfolio trends such as increasing concentration ... Credit Risk Officer II Total Base Pay Range 121,900.00 - 262,100.00 USD Annual At Fifth Third, we ...

Regional Finance

Manager Credit Risk

Plano, TX · On-site

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 ...

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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Showing results 21-40

All JobsCredit Risk Data Science JobsCredit Risk Data Science Jobs in Dallas, TX

Credit Risk Data Science information

See Dallas, TX salary details

$36.6K

$112.7K

$195.4K

How much do credit risk data science jobs pay per year?

As of Sep 13, 2026, the average yearly pay for credit risk data science in Dallas, TX is $112,655.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $139,000.00 per year, depending on experience, location, and employer.

What is credit risk data science?

Credit Risk Data Science is a specialized field that uses statistical analysis, machine learning, and data modeling techniques to assess and predict the likelihood that a borrower will default on a loan or credit obligation. Professionals in this field analyze large datasets from financial transactions, credit reports, and market trends to develop models that help financial institutions make informed lending decisions. Their work helps manage risk, set appropriate interest rates, and comply with regulatory standards. By leveraging advanced analytics, credit risk data scientists play a crucial role in minimizing losses and maximizing profitability for banks and lenders.

What skills and qualifications are needed to thrive as a credit risk data scientist?

To thrive as a Credit Risk Data Scientist, you need strong analytical skills, proficiency in statistical modeling, and a solid background in finance, mathematics, or a related field, often supported by an advanced degree. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of credit risk modeling tools such as SAS or SQL are typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and collaborating with stakeholders. These abilities are crucial for building accurate risk models, informing strategic decisions, and ensuring regulatory compliance in financial institutions.

How does a credit risk data scientist typically collaborate with other teams within a financial institution?

Credit Risk Data Scientists often work closely with credit analysts, risk managers, and IT professionals to develop, validate, and implement models that assess borrower risk. They frequently participate in cross-functional meetings to translate complex analytical findings into actionable business insights. Collaboration with compliance and regulatory teams is also common to ensure that risk models meet current regulatory standards. Effective communication and teamwork are essential, as the role bridges technical model development and practical risk management decisions.

What are popular job titles related to Credit Risk Data Science jobs in Dallas, TX?

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

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

The top searched job categories for Credit Risk Data Science jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Credit Risk Data Science jobs?

Cities near Dallas, TX with the most Credit Risk Data Science job openings:

Credit Risk Data Science jobs near you
Infographic showing various Credit Risk Data Science job openings in Dallas, TX as of July 2026, with employment types broken down into 87% Full Time, and 13% Part Time. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $112,655 per year, or $54.2 per hour.

Manager Credit Risk

Plano, TX • On-site

Regional Finance
Finance and Insurance • 1 - 5K employees
Learn more about Regional Financeexternal

Full-time

Re-posted 8 days ago

Regional Finance rating

6.4

Company rating: 6.4 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

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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