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Credit Risk Data Science Jobs in Arizona (NOW HIRING)

Execute data remediation initiatives and monitor data quality reports to identify issues and drive timely corrections. * Build and maintain strong working relationships with credit, risk, lending ...

Execute data remediation initiatives and monitor data quality reports to identify issues and drive timely corrections. * Build and maintain strong working relationships with credit, risk, lending ...

Sr Data Scientist

Scottsdale, AZ ยท On-site

$123K - $183K/yr

We also help merchants connect with their customers, process exchanges and returns, and manage risk ... Drive best practices in data science. * Ensure data quality and integrity in all processes.

Senior Data Engineer, Predictive Modeling

Tempe, AZ ยท On-site

$101K - $137K/yr

Our data science and analytics team automates everything Carvana does from modeling consumer ... Whether we're assessing credit risk, optimizing inventory and pricing strategies, or building AI ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ ยท On-site

$101K - $137K/yr

Our data science and analytics team automates everything Carvana does from modeling consumer ... Whether we're assessing credit risk, optimizing inventory and pricing strategies, or building AI ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ ยท On-site

$101K - $137K/yr

Our data science and analytics team automates everything Carvana does from modeling consumer ... Whether we're assessing credit risk, optimizing inventory and pricing strategies, or building AI ...

... risk, and operations to deliver high-quality credit data and timely execution. Job responsibilities ... Experience with credit systems (e.g., iCRD Proposals, Party Central, ACBS, Credit Navigator, iCRD ...

... risk, and operations to deliver high-quality credit data and timely execution. Job responsibilities ... Experience with credit systems (e.g., iCRD Proposals, Party Central, ACBS, Credit Navigator, iCRD ...

... risk, and operations to deliver high-quality credit data and timely execution. Job responsibilities ... Experience with credit systems (e.g., iCRD Proposals, Party Central, ACBS, Credit Navigator, iCRD ...

Data Scientist II

Tempe, AZ ยท Hybrid

$131K - $172K/yr

... risk, build higher-performing provider networks, and create a standout consumer experience in our ... Help ensure data science processes and outputs align with broader team strategies and roadmaps

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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 Arizona? For Credit Risk Data Science jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Arizona look for? The top searched job categories for Credit Risk Data Science jobs in Arizona are:
What cities in Arizona are hiring for Credit Risk Data Science jobs? Cities in Arizona with the most Credit Risk Data Science job openings:
Infographic showing various Credit Risk Data Science job openings in Arizona as of June 2026, with employment types broken down into 37% Full Time, 23% Part Time, 20% Temporary, and 20% Contract. Highlights an 59% In-person, and 41% Hybrid job distribution.
Data Science Manager- Credit Card Pricing & Profitability

Data Science Manager- Credit Card Pricing & Profitability

Citizens

Phoenix, AZ โ€ข Hybrid

$180K - $220K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 8 hours ago


Job description

Description

Description

The Data Science Manger for Profitability Modeling will leverage a strong background in business economics, Statistics, and technology development to deliver models that forecast business performance based on customer data, macro factors and treatment effects for all consumer lending products.ย  The successful candidate will be intellectually curious, and delivery focused, aligning priorities across multiple stakeholders to mathematically model causal relationships that are explainable to business leaders and allow for differentiated decision making across the consumer lending organization.

Primary Responsibilities:ย 

  • Perform or lead the performance of exploratory data analysis to understand relationships and opportunities to influence outcomes, while being able to quickly iterate common feature transformation and model types to find the best predictive models
  • Develop and document proofs of concept to verify your ideas, including counterfactual explanations for interpretability
  • Work closely with Line of Business to make sure that the proposed solution is performing as it should and is correctly understood
  • Support model validation and model back testing
  • Identify opportunities to apply the latest advancements in pricing theory and ML/AI modeling to build, test, and validate predictive models
  • Leverage expertise in both statistical modeling and business financial analysis to move past association and identify causal relationships
  • Actively mentor Data Scientists and Junior Data Scientists on good software practices
  • Develop and embed automated processes for predictive model validation, deployment, and implementation
  • Develop Pricing modeling pipelines and actively contribute high-quality, production-ready code
  • Support ad-hoc requests from the line of business by understanding, communicating, and managing model risks
  • Create and follow written risk and compliance policies, standards, and procedures for business activities

Qualifications

Required Skills/Experience

  • 6+ years of industry experience leading the design, development, and deployment of pricing models
  • Experience being the technical lead for multiple project teams simultaneously
  • Previous experience mentoring, training, and developing junior members of the team; experience in employee performance reviews
  • Expert understanding of Python and other common languages and the ability to develop and maintain a flexible code baseย 
  • Require experience building classic regression and ML models for Credit Cards
  • Extensive experience in financial modeling, loss forecasting, utilization, P&L and Cash flow analysis
  • Experience with cloud-based ecosystems, including managing on demand compute resources
  • Experience in an Agile working environment and related project management toolsย 
  • Experience with version control practices and tools (Git, etc.)
  • Excellent written and verbal communication skills

Education

  • Master's Degree or higher in Statistics/Mathematics/Economics

Hours & Work Schedule

  • Hours per Week: 40
  • Work Schedule: Monday - Friday
  • Hybrid: 4 days per week on site, 1 day remote

Pay Transparency

The salary range for this position is $180,000- $220,000 per year plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens' paid time off policy exceeds the mandatory, paid sick or paid time-away policy of every local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits .

Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.

Education:Why Work for UsEmployment Type: 1ST