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

Master's degree in quantitative field. * 5+ years of hands-on experience in data science, credit risk analytics, or quantitative modeling. * Experience in fintech, lending, banking, or SMB credit ...

Seller Credit Risk Manager

Plano, TX · On-site

$128K - $192K/yr

The Credit Manager for Single-Family Seller Credit Risk Management is tasked with identifying ... Analytical and data-driven approach to risk assessment, along with interest in utilizing AI tools ...

The Senior Data Scientist works with Credit, Risk, and Engineering teams to build and maintain ... of hands-on experience indata science, credit risk analytics, or quantitative modeling.

Seller Credit Risk Manager

Plano, TX · On-site

$128K - $192K/yr

The Credit Manager for Single-Family Seller Credit Risk Management is tasked with identifying ... Analytical and data-driven approach to risk assessment, along with interest in utilizing AI tools ...

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Showing results 1-20

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 Jun 9, 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.

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 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:
Director Credit Risk Management

Director Credit Risk Management

Populus Financial Group

Irving, TX • On-site

Full-time

Medical, Retirement, PTO

Posted 28 days ago


ACE Cash Express rating

4.4

Company rating: 4.4 out of 10

Based on 17 frontline employees who took The Breakroom Quiz


Job description

Populus is an amazing company where our employees stay because they love their teams and the growth opportunities. Additionally, we offer a competitive 401K match, a generous paid time off package, and Health Benefits.

Our mission is to provide a broad range of quality financial products and services delivered with best-in-class customer service. We work and lead with integrity, and we celebrate employees who exemplify our values. Come join our team!

The Director of Credit Risk Management is a strategic and analytical leader responsible for shaping and executing Populus Financial Group’s enterprise credit risk strategy across all lending portfolios. This role ensures the company’s credit policies, models, and risk decisioning frameworks are data-driven, forward-looking, and aligned with the organization’s growth, profitability, and compliance objectives. The Director leads a high-performing team of credit risk professionals and partners closely with Finance, Lending, Marketing, and Technology to ensure balanced, predictive, and profitable lending outcomes. The role combines deep technical expertise in credit risk modeling with strategic vision, innovation, and thought leadership in emerging risk technologies.

Major Responsibilities

  • Develop and execute a strategic roadmap for credit risk management that aligns with corporate strategy, portfolio performance, and risk appetite.
  • Act as the thought leader for credit risk, guiding model development, policy design, and analytics in line with enterprise goals.
  • Design, implement, and continuously refine credit policies and decisioning frameworks that are agile, compliant, and performance focused.
  • Oversee underwriting model governance, including monitoring, validation, recalibration, and drift management to ensure accuracy and portfolio stability.
  • Champion innovation through AI, machine learning, and alternative data to enhance predictability and credit quality.
  • Continuously evaluate and optimize credit waterfalls and origination strategies to maximize efficiency, profitability, and controlled risk.
  • Lead portfolio forecasting, early warning, and stress testing processes to identify vulnerabilities and mitigate emerging risks.
  • Partner with Finance, Product, and Marketing to align pricing, policy, and acquisition strategies with risk-adjusted profitability goals.
  • Oversee credit risk aspects of direct mail and acquisition programs, ensuring predictive targeting, compliance, and performance optimization.
  • Lead the development, testing, and rollout of new underwriting and portfolio management models across products and channels.
  • Maintain strong model governance frameworks with transparency, version control, and performance accountability.
  • Identify and integrate new data sources—including behavioral, transactional, and digital identity data—to improve model accuracy and portfolio insights.
  • Define and monitor key risk indicators (KRIs) and performance metrics to track portfolio and model health.
  • Provide leadership with strategic insights on credit trends, portfolio health, and emerging risks through analytics and reporting.
  • Collaborate with Compliance, Legal, and Internal Audit to ensure all credit policies and practices meet regulatory and governance standards.
  • Lead, mentor, and develop credit risk and data science teams to build capability and a culture of continuous learning and innovation.
  • Represent Credit Risk in enterprise committees and contribute to company-wide risk and growth strategies.
  • Partner with Loan Servicing, Collections, Fraud Strategy and Operations to align credit and fraud frameworks, balancing risk mitigation with customer experience.
  • Integrate fraud indicators and identity data into underwriting models and acquisition strategies.
  • Monitor emerging fraud trends and lead initiatives to strengthen predictive fraud controls through advanced analytics and real-time data.

Key Competencies

  • Strategic and Analytical Thinking
  • Leadership & Talent Development
  • AI and Machine Learning Application in Credit Risk
  • Portfolio Optimization & Forecasting
  • Model Governance and Validation Expertise
  • Business Acumen and Financial Literacy
  • Cross-Functional Collaboration and Influence
  • Change Leadership and Innovation
  • Ethical Judgment and Risk Discipline
  • Fraud Risk and Identity Management Expertise

Physical Demands

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these responsibilities.

Position Type/Expected Hours of Work
This is a full-time position. Days and hours of work are Monday through Friday, 8:00 a.m. to 5:00 p.m. This position may occasionally require extended hours and weekend work.

Work Environment
The work environment characteristics described here are representative of those encountered while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform these functions. The noise level in some work environments can be moderate.

Disclaimer
The above information has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job.

EEO Statement
Populus Financial Group provides Equal Employment Opportunity (EEOC) to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, promotion, termination, compensation, and training.


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