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

The Opportunity As a dedicated Bank Credit Risk Analyst Lead, you will have a strong background in ... Leads the analysis of internal and external scores/data for use in identifying first party fraud.

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.

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.

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 ...

The Data Science Analyst is responsible for using data science, machine learning, statistical ... Support use cases such as demand forecasting, labor forecasting, inventory risk, transportation ...

... 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 ...

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Showing results 1-20

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 Aug 14, 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 skills and qualifications are needed to thrive as a credit risk data scientist?

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.

Senior Analyst, Credit Risk Strategy

USAA

Phoenix, AZ

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


USAA rating

8.2

Company rating: 8.2 out of 10

Based on 262 frontline employees who took The Breakroom Quiz

51st of 171 rated banks


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

As a dedicated Bank Credit Risk Analyst Senior, you will have a strong background in credit risk strategy development forcard, consumer and deposits credit portfoliosto optimize profitable growth within risk appetite. You will own operational and compliance risk inherent in credit strategy. Additionally, you will track and monitor credit strategy performance as well as external factors impacting the credit risk exposure for bank portfolio products within the risk taxonomy.

Credit Risk Analyst Seniors use quantitative methods to identify credit risk, develop and deliver credit strategies, and monitor credit performance for consumer credit portfolios to optimize profitable growth within risk appetite. Owns mitigation of operational and compliance risk inherent in credit strategy. Tracks and monitors internal and external factors impacting credit strategy performance for bank portfolio products.

This role is remote eligible in the continental U.S. with occasional business travel. However, individuals residing within a 60-mile radius of a USAA office will be expected to work on-site four days per week.

What you'll do:

  • Apply industry leading practices and analytical skills to identify risks and opportunities within the managed portfolio and translates results into strategic solutions with the delivery of credit risk strategies.
  • Apply critical thinking skills to synthesize analyses, identify root causes, and develop clear and concise recommendations to drive credit risk strategy development and influence senior decision makers.
  • Partner to deliver bank credit risk strategies across lines of defense by effectively developing and improving complex analytical frameworks, analyzing data and processes, and clearly communicating insights/recommendations to key stakeholders and leadership.
  • Analyze internal and external scores/data for use in identifying first party fraud.
  • Apply industry knowledge and competitive benchmarking to inform credit strategy development.
  • Utilize advanced and nuanced quantitative analysis based upon internal and external data sources to bring structure and clarity to ambiguous and challenging problems.
  • Develop, manage, and present comprehensive risk and financial reporting in support of senior management and committee oversight of existing and emerging risks and escalates the quality and direction of credit performance to appropriate levels of management.
  • Design and perform complex financial risk sensitivity analysis.
  • Create and manage credit strategy infrastructure and ensures credit strategies are implemented as intended.
  • Apply expert programming and analytical techniques to analyze credit data.
  • Provide thought leadership, coaching, and mentoring to team members regarding analytics and risk management.
  • Collaborate with key stakeholders to guide & facilitate teams in the development and implementation of key initiatives.
  • Utilize analytically derived insights to develop strategic plans with significant impact to business results.
  • Coach and mentor other analysts and acts as a thought leader within the analyst community.
  • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Business Management, Finance, Economics, Engineering, or in a Mathematical discipline; OR 4 years of related experience (in addition to the minimum years of experience required) may be substituted in lieu of degree.
  • Minimum 6 years' experience in an analytical field or work focused on leading analytical projects, advanced analytics, risk assessments or bank credit risk data; OR an advanced degree in Business Management, Finance, Economics, Engineering, or in a Mathematical discipline and 4 years' experience in an analytical field or work focused on leadinganalytical projects, advanced analytics, risk assessments or bank credit risk data.
  • Experience in financial analysis activities to support risk strategy.
  • Strong understanding of banking regulations, risk, and/or compliance.
  • Advanced presentation and communication skills.
  • Advanced business acumen and attention to detail and accuracy.
  • Advanced research and investigation skills and demonstrated good judgement in problem solving.
  • Advanced knowledge of Microsoft Office products, particularly Excel, Word, and PowerPoint.
  • Advanced knowledge of data analysis tools including skills to develop analysis queries and procedures in SQL, SAS, or other business intelligence and analysis software applications for data segmentation, aggregation, and statistics (E.g., SPS or Visual Basic).
  • Knowledge of federal laws, rules, regulations, and applicable guidance to include: FCRA, Reg B, UDAAP/UDAP, OCC Heightened Standards, OCC CREDIT RISK GUIDANCE.

What sets you apart:

  • 6+ years of experience with consumer credit risk analyticswith a focus on card, auto, personal loans, deposits and other and consumer loans credit strategy development, implementation and monitoring.
  • Experience preparing and communicating credit strategy recommendations and results of complex analysis to senior leadership and a wide range of partners including but not limited to Credit risk reviewer, Pricing, Product, Legal, Compliance, Underwriting and Operations.
  • Experience delivering business insights and recommendations through internal and industry data analysis.
  • 6+ years of experience with SAS or SQL to gather and analyze data; including aggregation from multiple sources, working with different grains of data, resolving anomalies, and demonstrating sophisticated joins to prepare data for analysis.
  • Experience crafting tests (e.g. A/B test) and evaluating outcomes to continuously guide and optimize risk reward framework.
  • Experience driving multiple analytics projects and strategies forward with limited guidance.
  • Experience optimizing underwriting criteria using statistical models and analysis of traditional and alternative credit data to drive risk-adjusted growth.
  • Experience working with Experian Sandbox, alternate data sources e.g. Lexis Nexis

Compensation range: The salary range for this position is: $127,310.00 - $243,340.00.

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA 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, or status as a protected veteran.


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