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Credit Risk Data Science Jobs in Texas (NOW HIRING)

... credit risk, fraud detection, and marketing performance • Create and deliver clear reports and ... Required : • Master's degree (or equivalent) in Data Science, Business Analytics, or a related ...

Develop and maintain machine learning models for credit risk, fraud detection, and marketing ... Master's degree (or equivalent) in Data Science, Business Analytics, or a related technical field ...

Develop and maintain machine learning models for credit risk, fraud detection, and marketing ... Master's degree (or equivalent) in Data Science, Business Analytics, or a related technical field ...

Develop and maintain machine learning models for credit risk, fraud detection, and marketing ... Master's degree (or equivalent) in Data Science, Business Analytics, or a related technical field ...

Senior Loan Data Associate

Dallas, TX · On-site

$85K - $107K/yr

Strong understanding of loan performance metrics and credit risk concepts * Excellent written and verbal communication skills Preferred Qualifications * Master's degree in Statistics, Data Science ...

Senior Loan Data Associate

Dallas, TX · On-site

$85K - $107K/yr

Strong understanding of loan performance metrics and credit risk concepts * Excellent written and verbal communication skills Preferred Qualifications * Master's degree in Statistics, Data Science ...

Senior Loan Data Associate

Dallas, TX · On-site

$85K - $107K/yr

Strong understanding of loan performance metrics and credit risk concepts * Excellent written and verbal communication skills Preferred Qualifications * Master's degree in Statistics, Data Science ...

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Credit Risk Data Science information

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 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 are the key skills and qualifications needed to thrive as a Credit Risk Data Scientist, and why are they important?

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.
What are popular job titles related to Credit Risk Data Science jobs in Texas? For Credit Risk Data Science jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Texas look for? The top searched job categories for Credit Risk Data Science jobs in Texas are:
What cities in Texas are hiring for Credit Risk Data Science jobs? Cities in Texas with the most Credit Risk Data Science job openings:
Infographic showing various Credit Risk Data Science job openings in Texas as of June 2026, with employment types broken down into 35% Full Time, 23% Part Time, 21% Temporary, and 21% Contract. Highlights an 60% In-person, and 40% Hybrid job distribution.
Data Scientist

Full-time

Posted 3 days ago


Job description

Job Summary:
American First Finance is seeking a Data Scientist to turn complex data into actionable insights that drive smarter business decisions. In this role, you’ll leverage advanced analytics, machine learning, and visualization tools to support key functions across credit, fraud, and marketing.
Responsibilities:
• Analyze large datasets to uncover trends and support strategic decision-making
• Develop and maintain machine learning models for credit risk, fraud detection, and marketing performance
• Create and deliver clear reports and presentations to business stakeholders
• Automate reporting processes and build dashboards using Tableau or Power BI
• Maintain and enhance existing code in R and SQL, including database management tasks
• Develop reproducible reports using Markdown
Qualifications:
Required:
• Master’s degree (or equivalent) in Data Science, Business Analytics, or a related technical field
• 4+ years of experience, preferably within financial services
• Strong experience with data analysis, modeling, and visualization tools
• Proficiency in R, SQL, and data reporting tools
Company:
American First Finance is a leading consumer financial technology company that provides alternatives to traditional retail lending service. Founded in 2013, the company is headquartered in Dallas, USA, with a team of 201-500 employees. The company is currently Growth Stage.