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

Review financial statements to assess risk and assign appropriate credit ratings * Maintain and ... Advanced proficiency in Microsoft Excel (pivot tables, formulas, data analysis) * Ability to ...

Review financial statements to assess risk and assign appropriate credit ratings * Maintain and ... Advanced proficiency in Microsoft Excel (pivot tables, formulas, data analysis) * Ability to ...

Review financial statements to assess risk and assign appropriate credit ratings * Maintain and ... Advanced proficiency in Microsoft Excel (pivot tables, formulas, data analysis) * Ability to ...

You will work at the intersection of data science, clinical context, cloud architecture, and ... Familiarity with model transparency, AI risk management, PHI-sensitive environments, auditability ...

... risk and compliance policies and procedures. What you have: * Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other ...

Continuously monitor credit risk for a portfolio of accounts as new financial data, press releases, or other information becomes available throughout a company's lifecycle. * Recommend changes to ...

Continuously monitor credit risk for a portfolio of accounts as new financial data, press releases, or other information becomes available throughout a company's lifecycle. * Recommend changes to ...

... risk and compliance policies and procedures. What you have: * Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other ...

... risk and compliance policies and procedures. What you have: * Bachelor's degree in mathematics, computer science, statistics, economics, finance, actuarial sciences, science and engineering, or other ...

Data Scientist

Scottsdale, AZ · On-site

$80K - $120K/yr

Appointment optimization * Clinical risk stratification * Patient adherence forecasting ... Master's degree in Data Science, CS, Statistics, Biomedical Informatics, or related field preferred ...

Data Scientist II

Phoenix, AZ · On-site

$120 - $160/hr

Hands‑on Databricks experience for building and deploying data science workloads at scale ... Exposure to industry‑specific domains such as e‑commerce, marketing analytics, risk/fraud ...

Data Scientist II

Phoenix, AZ · On-site

$120 - $170/hr

Hands‑on Databricks experience for building and deploying data science workloads at scale ... Exposure to industry‑specific domains such as e‑commerce, marketing analytics, risk/fraud ...

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Exposure to industry-specific domains such as ecommerce, marketing analytics, risk/fraud, supply ...

Master's degree in Computer Science, Statistics, Mathematics, Engineering, Operations Research, or ... Exposure to industry-specific domains such as ecommerce, marketing analytics, risk/fraud, supply ...

If relevant, performs ongoing credit risk management for assigned portfolio. Coaches and/or reviews ... Property Data Analysis, Real Estate Sales Closings and Agreements, Regulatory Environment ...

Showing results 41-60

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.

Credit Specialist

Expeditors

Scottsdale, AZ • On-site

Full-time

Re-posted 16 days ago


Expeditors rating

8.1

Company rating: 8.1 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

43rd of 362 rated logistics


Job description

Company Description

“We’re not in the shipping business; we’re in the information business”

Peter Rose, Expeditors Founder

Expeditors is a Fortune 500 global logistics company that satisfies the increasingly sophisticated needs of international trade through customized solutions and seamless, integrated information systems. We pride ourselves on being a solutions-based organization and take time to understand each customer’s individual business needs. As a non-asset based organization, we have considerable flexibility when managing our customers’ supply chains.

Our industry professionals, award winning processes, and globally unified systems ensure that we always live up to our promise, You’d be surprised how far we’ll go for you.®

- 18,000 trained professionals

- 250+ locations worldwide

- Fortune 500

- Globally unified systems

Job Description

As a Credit Specialist, you’ll play a key role in supporting credit approvals for a large, dynamic organization while learning how to apply your education to real-world business decisions. This position is entry-level and ideal for recent graduates eager to grow their skills and gain hands-on experience in credit processes, reporting, and internal customer service — all while building a strong foundation for a career in finance. We’re looking for a proactive, detail-oriented individual who can work independently, prioritize effectively, and adapt to a fast-paced environment. The ideal candidate is committed to learning, meets deadlines consistently, and strives to improve processes for greater efficiency. 

Major Duties and Responsibilities:

  • Process and evaluate customer credit requests 
  • Compile and analyze credit scoring and company financial information  
  • Obtain, track and reconcile customer financial statements
  • Review financial statements to assess risk and assign appropriate credit ratings
  • Maintain and monitor a portfolio of high-risk accounts, ensuring timely follow-up, documentation, and proactive communication to mitigate credit risk
  • Support internal customer service by providing timely and accurate information in response to inquiries from branch offices
  • Effectively communicate with branch offices regarding credit approval status, past-due receivables, or financial statement inquiries
  • Understand company information and industry trends to support credit decisions
  • Learn and contribute to process improvements within the department

What we offer

  • Structured Training & Mentorship: Start your career with a clear onboarding plan and guidance from experienced credit professionals.
  • Career Growth: Build a strong foundation in finance with opportunities for advancement as you gain experience.
  • Impactful Work: Your contributions help protect the company and enable customers to succeed.
  • Supportive Team Culture: Join a team that values collaboration, balance, and well-being in a fast-paced environment.
  • Dynamic Industry: Gain exposure to credit processes within the global logistics environment, offering unique learning opportunities.

Location Requirement:
This position is in-office at our branch located in Scottsdale, AZ. Remote work is not available. Candidates must reside within commuting distance or be willing to relocate.

Qualifications
  • Bachelor's degree in accounting or finance
  • Advanced proficiency in Microsoft Excel (pivot tables, formulas, data analysis)
  • Ability to interpret and review financial statements
  • Excellent written and verbal communication skills
  • Exceptional attention to detail and accuracy
  • Strong organizational and time-management skills
  • Excellent customer service
  • Ability to learn and adapt to new software applications quickly

Additional Information

All your information will be kept confidential according to EEO guidelines.

Expeditors offers competitive benefits to all full time employees


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