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Credit Risk Data Science Jobs in Phoenix, AZ (NOW HIRING)

Serve as a strategic thought partner for other members of the Data Science team Qualifications What ... Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting.

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Serve as a strategic thought partner for other members of the Data Science team Qualifications What ... Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting.

Data Scientist (AHL)

Tempe, AZ · On-site

$140K - $160K/yr

Serve as a strategic thought partner for other members of the Data Science team Qualifications What ... Experience with credit risk modeling (development & monitoring) and loss/prepayment forecasting.

Vision | We create the future of credit risk management through data, analytics, and risk process innovation for our customers. Mission | We deliver data-driven information solutions to protect our ...

... risk processes and governance programs, and credit data at U.S. Bank, or another mid-sized or large banking institution - Considerable understanding of the business line's operations, products ...

Analyze financial statements and third-party financial data for public and private domestic and international customers to assess credit risk * Evaluate customer creditworthiness and recommend credit ...

Analyze financial statements and third-party financial data for public and private domestic and international customers to assess credit risk * Evaluate customer creditworthiness and recommend credit ...

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.

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Credit Risk Data Science information

See Phoenix, AZ salary details

$36.7K

$113.1K

$196.1K

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

As of Jul 25, 2026, the average yearly pay for credit risk data science in Phoenix, AZ is $113,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $139,500.00 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 Phoenix, AZ? For Credit Risk Data Science jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Credit Risk Data Science jobs in Phoenix, AZ look for? The top searched job categories for Credit Risk Data Science jobs in Phoenix, AZ are:
Infographic showing various Credit Risk Data Science job openings in Phoenix, AZ as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $113,074 per year, or $54.4 per hour.
Lead Credit Risk Officer | Corporate Risk

Lead Credit Risk Officer | Corporate Risk

Wells Fargo

Tempe, AZ

Full-time

Medical, Life, Retirement, PTO

Posted 8 days ago


Wells Fargo rating

7.8

Company rating: 7.8 out of 10

Based on 702 frontline employees who took The Breakroom Quiz

76th of 150 rated banks


Job description

About This Role

Wells Fargo is seeking a Lead Credit Risk Officer. The Lead Credit Risk Officer (P4) is a senior individual contributor on the Transaction Risk team responsible for developing, implementing, and optimizing data-driven risk strategies that support real-time transaction decisioning. This role leverages data, analytics, and quantitative techniques to manage risk across millions of transactions each month while balancing customer experience, fraud prevention, and business objectives.

This role combines quantitative analysis, risk strategy development, and technical problem-solving to improve decision quality and portfolio performance. The successful candidate will leverage large datasets, advanced analytics, automation, and AI/ML techniques to identify emerging risks, enhance decisioning strategies, and deliver measurable business outcomes.

The position offers an opportunity to support the modernization of transaction risk capabilities through cloud transformation initiatives, enhanced analytics, and evolving decisioning technologies while helping ensure effective risk management across a growing portfolio.

Key Responsibilities

  • Develop, implement, and optimize transaction risk strategies to improve decision quality, portfolio performance, and customer outcomes.

  • Analyze transaction, customer, and portfolio data to identify emerging risks, evaluate strategy performance, and recommend enhancements.

  • Lead complex analytical initiatives, including strategy design, performance analysis, root-cause investigations, and risk assessments.

  • Build scalable analytical solutions using SAS, SQL, Python, R, or other tools to support risk decisioning, monitoring, and operational efficiency.

  • Evaluate new data sources, analytical techniques, and decisioning approaches to strengthen risk detection and strategy effectiveness.

  • Design and maintain monitoring and reporting frameworks to assess strategy performance and identify emerging trends.

  • Partner with business, technology, model governance, and control teams to implement, maintain, and enhance risk strategies.

  • Provide technical leadership and mentorship to analysts while promoting analytical rigor and best practices.

In This Role, You Will

  • Lead cross-functional initiatives that influence transaction risk strategy, decisioning performance, and customer outcomes.

  • Apply quantitative analysis and sound judgment to solve complex business problems and support risk-based decisions.

  • Support the evolution of risk capabilities through analytics, automation, data innovation, and platform modernization efforts.

  • Communicate analytical findings and recommendations to senior leaders and key stakeholders.

  • Collaborate with business partners, Model Governance, Audit, Legal, Compliance, and regulators to support effective risk management and strategy execution.

Required Qualifications:

  • 5+ years of Credit Risk experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education.

Desired Qualifications

  • 5+ years of experience applying analytical techniques, statistical analysis, anomaly detection, modeling, and risk reporting in a financial services environment.

  • 5+ years of experience using SQL, SAS, Python, R, or similar data management and analytics tools; familiarity with GitHub, VS Code, GCP or cloud-based analytical platforms is a plus.

  • Experience developing, implementing, monitoring, or supporting risk strategies, predictive models, or analytical decisioning solutions.

  • Experience working with large, complex datasets and translating analytical findings into business recommendations.

  • Experience operating within Model Risk Management (MRM), model governance, or similar risk management frameworks.

  • Knowledge of transaction risk, fraud risk, customer decisioning, portfolio management, or risk optimization techniques.

  • Strong communication and stakeholder management skills, including the ability to influence senior leaders and present complex analytical concepts to technical and non-technical audiences.

  • Experience driving automation, process improvement, and analytical modernization initiatives.

Work Locations:

  • 333 Market St - San Francisco, California

  • 401 S Tryon St - Charlotte, North Carolina

  • 401 W Las Colinas Blvd - Irving, Texas

  • 600 S 4th St - Minneapolis, Minnesota

  • 1150 W Washington St - Tempe, Arizona

  • 800 S Jordan Creek Pkwy - West Des Moines, Iowa

  • 114 North Beaumont Street - D Bldg, Saint Louis, Missouri

Job Expectations:

  • Required location listed above. Relocation assistance is not available for this position.

  • This position currently offers a hybrid work schedule.

  • This position is not eligible for VISA sponsorship.

Pay Range

Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.

$139,000.00 - $260,000.00

Benefits

Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. VisitBenefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.

  • Health benefits
  • 401(k) Plan
  • Paid time off
  • Disability benefits
  • Life insurance, critical illness insurance, and accident insurance
  • Parental leave
  • Critical caregiving leave
  • Discounts and savings
  • Commuter benefits
  • Tuition reimbursement
  • Scholarships for dependent children
  • Adoption reimbursement

Posting End Date:

2 Aug 2026

*Job posting may come down early due to volume of applicants.

We Value Equal Opportunity

Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.

Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements.

Applicants with Disabilities

To request a medical accommodation during the application or interview process, visitDisability Inclusion at Wells Fargo.

Drug and Alcohol Policy

Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.

Wells Fargo Recruitment and Hiring Requirements:

a. Third-Party recordings are prohibited unless authorized by Wells Fargo.

b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.


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About Wells Fargo

Sourced by ZipRecruiter

Wells Fargo & Company (NYSE: WFC) is a leading financial services company that has approximately $1.9 trillion in assets, proudly serves one in three U.S. households and more than 10% of small businesses in the U.S., and is a leading middle market banking provider in the U.S. We provide a diversified set of banking, investment and mortgage products and services, as well as consumer and commercial finance, through our four reportable operating segments: Consumer Banking and Lending, Commercial Banking, Corporate and Investment Banking, and Wealth & Investment Management. Wells Fargo ranked No. 41 on Fortune's 2022 rankings of America's largest corporations. In the communities we serve, the company focuses its social impact on building a sustainable, inclusive future for all by supporting housing affordability, small business growth, financial health and a low-carbon economy.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

San Francisco, CA, US

Year founded

1852

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