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

Credit Director

Glendale, AZ · On-site

$100 - $140/hr

... data, digital tools, and AI to modernize a historically under-digitized industry. At QXO , we're ... Drive proactive risk assessment and ensure timely updates to customer credit profiles * Lead ...

Sr Data Scientist

Scottsdale, AZ · 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.

AR Credit Analyst

Phoenix, AZ · On-site

$25 - $29/hr

... data to evaluate customer creditworthiness. * Review and process new account applications while establishing appropriate credit limits. * Calculate and interpret financial ratios and key risk ...

Requirements: * Bachelor's degree required in Mathematics, Data Science, Computer Science ... Familiarity with model governance, model risk management, compliance, or regulatory frameworks is a ...

Senior Data Engineer, Predictive Modeling

Tempe, AZ · 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 · 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 ...

Data Scientist II

Tempe, AZ · 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

Lead AI & Data Solutions

Phoenix, AZ · On-site

$180 - $240/hr

... credit unions to increase efficiency, manage risk and improve the member experience. Trellance ... Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics ...

Sr. Data Analyst

Tempe, AZ · On-site +1

$115K - $145K/yr

Drive improvements in credit performance by finding pockets of low risk consumer where we can ... Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ...

Drive improvements in credit performance by finding pockets of low risk consumer where we can ... Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ...

Sr. Data Analyst

Tempe, AZ · On-site

$115K - $145K/yr

Drive improvements in credit performance by finding pockets of low risk consumer where we can ... Qualifications What you'll bring: * 5+ years of experience in data science, quantitative business ...

Lead Data modeler

Phoenix, AZ · On-site

$53.25 - $69/hr

Banking Experience (Credit Modeling)-understand (Credit Risk/Modeling) about analysing how risky a ... Data modeling software

Data Scientist II

Tempe, AZ · 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

Showing results 21-40

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 Sep 5, 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.

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.

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 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.

Data Risk Analyst

Cliff Services Inc

Phoenix, AZ • On-site

Other

This job post has expired 3 days ago. Applications are no longer accepted.


Job description

Data Risk Analyst

Location : Phoenix , AZ

Please find the JD Below

The Risk Adjustment Analyst serves as a data and strategic specialist who tracks health plan performance and financial risk By using advanced coding methodologies and data extraction tools they bridge the gap between clinical documentation and actuarial health forecasting Their overarching goal is to maintain absolute regulatory compliance while optimizing organizational revenue

Must Have

Data Analysis Modeling Gather clean and consolidate financial claims pharmacy enrollment and premium datasets into actionable models

Risk Score Calculation Analyze diagnostic patterns to calculate Risk Adjustment Factors RAF and forecast financial impacts using clinical metrics

Coding Quality Compliance Maintain deep familiarity with medical terminologies ICD10CM coding and Hierarchical Condition Categories HCC to isolate coding discrepancies or revenue gaps

Audit Support Provide backend reporting and data validation to assist with internal quality checks and federal Risk Adjustment Data Validation RADV audits

Crossfunctional Collaboration Partner with clinical providers to deliver Documentation Improvement CDI training ensuring that medical charts comprehensively capture a patients overall disease burden

Reporting Dashboards Design custom automated dashboards and adhoc financial plans to report risk trends directly to executive leadership

Skills Advanced proficiency in SQL for relational databases paired with statistical modeling in Python SAS or R

Nice to Have

Healthcare experience

Soft Skills

1 Strong communication and interpersonal skills

2 Good analytical and problemsolving skills

Skills

Mandatory Skills : Dimensional Data Modeling, MS SQL Server, Python for DATA, R - Data Science, SAS-Data Integrator
Good to Have Skills : Statistics-Data Science