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Freelance 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 · 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 ...

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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Freelance Credit Risk Modeling information

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

To thrive as a Freelance Credit Risk Modeler, you need a strong background in statistics, quantitative finance, and data analysis, typically supported by a degree in finance, mathematics, or a related field. Proficiency in programming languages such as Python, R, or SAS, along with experience using risk modeling software and knowledge of regulatory frameworks like Basel III, is crucial. Excellent communication, project management, and client relationship skills help distinguish top freelancers in this role. These abilities are essential for delivering accurate risk assessments, meeting client expectations, and maintaining compliance in a dynamic financial environment.

What is freelance credit risk modeling?

Freelance credit risk modeling involves independent professionals analyzing and predicting the likelihood that borrowers or counterparties will default on financial obligations. These freelancers use statistical methods, machine learning models, and data analysis to assess credit risk for banks, lenders, or other firms. Their work helps organizations make informed lending decisions, set appropriate interest rates, and comply with regulatory requirements. Freelancers in this field may work on projects like developing credit scorecards, stress testing portfolios, or validating existing risk models.

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

AspectFreelance Credit Risk ModelingCredit Analyst
CredentialsRelevant certifications (e.g., CFA, credit risk certifications), strong quantitative skillsTypically requires a degree in finance, economics, or related field; certifications are a plus
Work EnvironmentIndependent, project-based, remote or client-siteUsually in banks, financial institutions, or corporate offices
Industry UsageUsed by consulting firms, freelance platforms, and financial servicesEmployed directly by financial institutions or corporations
Comparison Search IntentUnderstanding freelance opportunities in credit risk modelingAssessing creditworthiness and risk for lending decisions

Freelance Credit Risk Modeling involves independent, project-based work focusing on developing risk models, often remotely. Credit Analysts work within organizations to evaluate creditworthiness, typically in a structured environment. While both roles require financial expertise and similar credentials, their work settings and employment types differ significantly.

How do freelance credit risk modelers typically collaborate with clients and other stakeholders during projects?

Freelance credit risk modelers usually work closely with client teams such as credit analysts, data engineers, and compliance officers to understand data sources, project objectives, and regulatory requirements. Communication often occurs through regular virtual meetings, progress reports, and collaborative tools to ensure transparency and alignment. Freelancers must be proactive in clarifying goals, sharing preliminary findings, and incorporating feedback to deliver models that meet both technical and business needs. Building strong client relationships and maintaining clear documentation are key to successful collaboration in this role.
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 Freelance Credit Risk Modeling jobs in Dallas, TX? For Freelance Credit Risk Modeling jobs in Dallas, TX, the most frequently searched job titles are:
What job categories do people searching Freelance Credit Risk Modeling jobs in Dallas, TX look for? The top searched job categories for Freelance Credit Risk Modeling jobs in Dallas, TX are:
Freelance Credit Risk Modeling jobs near you
Infographic showing various Freelance Credit Risk Modeling job openings in Dallas, TX as of July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 80% In-person, and 20% Hybrid job distribution.

Manager Credit Risk

Regional Finance

Plano, TX • On-site

Full-time

Posted 29 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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