ZipRecruiter

Log In

1

Credit Risk Monitor Jobs in Arizona (NOW HIRING)

QXO

Credit Director

Glendale, AZ · On-site

Monitor and manage overall accounts receivable performance, including DSO, delinquency trends, and bad debt * Drive proactive risk assessment and ensure timely updates to customer credit profiles

QXO

Credit Director

Glendale, AZ · On-site

Monitor and manage overall accounts receivable performance, including DSO, delinquency trends, and bad debt * Drive proactive risk assessment and ensure timely updates to customer credit profiles

QXO

Credit Director

Glendale, AZ · On-site

Monitor and manage overall accounts receivable performance, including DSO, delinquency trends, and bad debt * Drive proactive risk assessment and ensure timely updates to customer credit profiles

Expeditors

Credit Specialist

Scottsdale, AZ · On-site

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 ...

Expeditors

Credit Specialist

Scottsdale, AZ · On-site

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 ...

Expeditors

Credit Specialist

Scottsdale, AZ · On-site

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 ...

Tradition Capital Bank

Credit Analyst

Scottsdale, AZ · On-site

$100K - $150K/yr

... and monitoring of other structural and risk mitigating components of the credit accommodation. Maintain knowledge of the Bank's Loan Policy. * Credit Administration: Assist lenders with on-going ...

Tradition Capital Bank

Credit Analyst

Scottsdale, AZ

$100K - $150K/yr

... and monitoring of other structural and risk mitigating components of the credit accommodation. Maintain knowledge of the Bank's Loan Policy. * Credit Administration: Assist lenders with on-going ...

previous pagenext page

Showing results 21-40

All JobsCredit Risk Monitor JobsCredit Risk Monitor Jobs in Arizona

Credit Risk Monitor information

See Arizona salary details

$80.6K

$147.5K

$223.2K

How much do credit risk monitor jobs pay per year?

As of Aug 15, 2026, the average yearly pay for credit risk monitor in Arizona is $147,529.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $165,400.00 per year, depending on experience, location, and employer.

What are some common challenges faced by credit risk monitors in their day-to-day work?

Credit Risk Monitors often contend with the challenge of evaluating complex financial data from multiple sources to assess a borrower's creditworthiness. They must stay updated on changing market conditions and regulatory requirements, which can impact risk assessments. Another frequent challenge is balancing the need for thorough analysis with tight reporting deadlines. Collaboration with other departments, such as loan officers and compliance teams, is essential for obtaining accurate information and ensuring company policies are followed.

What are the key skills and qualifications needed to thrive as a credit risk monitor?

To thrive as a Credit Risk Monitor, you need strong analytical skills, financial acumen, and a background in finance, accounting, or economics, often supported by a relevant degree. Familiarity with risk assessment tools, credit scoring models, and platforms such as Moody’s Analytics or S&P Global Market Intelligence is typically required. Attention to detail, effective communication, and sound judgment help in interpreting data and conveying risk findings to stakeholders. These skills are essential to accurately evaluate creditworthiness and support informed decision-making that protects organizational assets.

What is a credit risk monitor?

A Credit Risk Monitor is a professional responsible for analyzing and assessing the credit risk associated with lending or extending credit to individuals or organizations. They monitor financial statements, payment histories, and market trends to evaluate the likelihood of default. Credit Risk Monitors help financial institutions and businesses minimize losses by providing recommendations on credit limits, terms, and risk mitigation strategies. Their work is essential for maintaining the financial health and stability of organizations that rely on credit transactions.

What is the difference between Credit Risk Monitor vs Credit Analyst?

AspectCredit Risk MonitorCredit Analyst
Required credentialsTypically requires finance, economics, or related degrees; certifications like CFA are a plusSimilar educational background; certifications like CFA or CPA can be advantageous
Work environmentFinancial services, credit risk assessment, often in corporate or agency settingsBanking, lending institutions, or corporate finance departments
Employer and industry usageUsed by credit rating agencies, financial institutions, and risk management firmsCommon in banks, investment firms, and credit departments

While both roles involve financial analysis and risk assessment, Credit Risk Monitors focus on monitoring and analyzing credit risks at a broader level, often involving data aggregation and industry trend analysis. Credit Analysts typically evaluate individual creditworthiness of clients or companies to inform lending decisions. Understanding these distinctions helps in choosing the right career path or job search focus.

What are popular job titles related to Credit Risk Monitor jobs in Arizona?

For Credit Risk Monitor jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Credit Risk Monitor jobs in Arizona look for?

The top searched job categories for Credit Risk Monitor jobs in Arizona are:

What cities in Arizona are hiring for Credit Risk Monitor jobs?

Cities in Arizona with the most Credit Risk Monitor job openings:

Credit Risk Monitor jobs near you

Senior Data Scientist, Predictive Modeling, Credit & Risk

Carvana

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 24 days ago

Carvana rating

7.0

Company rating: 7.0 out of 10

Based on 278 frontline employees who took The Breakroom Quiz

143rd of 733 rated retailers

Job description

About Carvana...
At Carvana, we're changing the way people buy and sell cars. With an ambitious vision and a fundamentally different approach designed to be fun, fast, and fair, Carvana became the fastest-growing automotive retailer in history. We expanded nationally, went public on the New York Stock Exchange, sold our 1 millionth car, and reached the Fortune 500, all in just eight years.
Today, with 4 million retail customers and counting, Carvana is both the fastest-growing and the most profitable public automotive retailer, and we're just getting started. We continue to raise the bar for our customers as we tackle the enormous opportunity still ahead in the largest consumer vertical.
Working here means being part of a team that embraces change, celebrates creative problem solving, and always strives to be better. At Carvana, you'll have the opportunity to take on meaningful challenges, learn quickly, and help shape the future of automotive retail. If you're driven to grow and make an impact as part of a collaborative team, you'll fit right in. Learn more about what it's like to work here from the people that already do.
Work Model: This is a 100% on-site role at our Tempe office, Monday through Friday.
About the Role
This role sits within Carvana's Credit & Risk modeling space, working on high-impact predictive models that inform risk assessment and decisioning across the business.
We are looking for a senior individual contributor who will help advance the technical capabilities of our core credit and risk models by developing, validating, and productionizing new modeling techniques and data signals.
Success in this role comes from steady, compounding improvement-introducing new ideas pragmatically, proving value early, and iterating toward more sophisticated approaches over time. While the work will focus on flagship credit and risk models, successful techniques and signals are expected to scale outward to other models and teams through shared workflows and modeling infrastructure.
This role is well suited for someone who operates comfortably at the intersection of advanced modeling and real-world delivery to balance tradeoffs between complexity and business objectives.
What You'll Be Doing
  • Improve core credit and risk models through a sequence of incremental advancements in accuracy, robustness, and coverage over time.
  • Leverage a wide range of structured and unstructured data sources across multiple modalities to drive sustained improvements in model accuracy and decision quality.
  • Design, train, and deploy advanced machine learning models, including (but not limited to) gradient boosting, representation learning, embeddings, and transformer-based approaches.
  • Use high-impact models as a testing ground for new techniques and data modalities, validating which ideas deliver measurable lift in production.
  • Build and apply rigorous evaluation frameworks (offline validation, backtests, simulations, online experiments) to guide iteration and decision-making.
  • Exercise strong judgment about model complexity and tradeoffs, balancing sophistication with reliability and maintainability.
  • Partner closely with data engineering and platform teams to ensure models are production-ready, scalable, monitorable, and maintainable.
  • Translate successful work into reusable patterns, abstractions, or signals that can be adopted across other modeling efforts.
  • Serve as a technical leader within the Predictive Modeling organization through design reviews, code reviews, and informal mentorship.

What You Should Have
  • 5-8+ years of experience building and deploying predictive models in production environments.
  • A demonstrated track record of delivering models and improving them iteratively over time, not just developing them offline.
  • Strong experience with modern machine learning techniques (e.g., LightGBM/XGBoost, neural networks, representation learning).
  • Excellent statistical intuition, including comfort reasoning about bias/variance tradeoffs, generalization, and experimental validity.
  • Fluency in Python and SQL, with production-quality coding standards.
  • Proven ability to take ambiguous, open-ended modeling problems from idea → experiment → production impact.
  • Bachelor's degree in Computer Science, Statistics, Math, Quantitative Economics, or similar field from an accredited undergraduate institution required.

If would also be great if you had
  • Hands-on experience with embeddings, transformers, or other deep representation models in real-world systems.
  • Experience integrating unstructured or semi-structured data (text, images, documents, device signals) into predictive models.
  • Familiarity with model monitoring, drift detection, and retraining strategies for high-impact decision systems.
  • Experience working in credit, risk, fraud, underwriting, or similar high-stakes modeling environments.

Notes on Experience
  • Research experience is a plus only if paired with a strong bias toward delivery and production impact.

What Success Looks Like
Over time, success in this role is reflected by:
  • Measurable improvements in the accuracy, robustness, or coverage of core credit and risk models.
  • New modeling techniques or data signals that transition from experimentation into sustained production use.
  • Clear patterns or abstractions that enable other teams to adopt and build on this work.
  • Strong alignment between modeling advances and real business outcomes.

What we'll offer in return
  • Full-Time Salary Position with a competitive salary.
  • Medical, Dental, and Vision benefits.
  • 401K with company match.
  • A multitude of perks including student loan payments, discounts on vehicles, benefits for your pets, and much more.
  • A great wellness program to keep you healthy and happy both physically and mentally.
  • Access to opportunities to expand your skill set and share your knowledge with others across the organization.
  • A company culture of promotions from within, with a start-up atmosphere allowing for varied and rapid career development.
  • A seat in one of the fastest-growing companies in the country.

Legal Stuff
Hiring is contingent on passing a complete background check. This role is eligible for visa sponsorship.
Carvana is an equal employment opportunity employer. All applicants receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, marital status, national origin, age, mental or physical disability, protected veteran status, or genetic information, or any other basis protected by applicable law. Carvana also prohibits harassment of applicants or employees based on any of these protected categories.
Please note this job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

What Carvana employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Carvana logo

About Carvana

Sourced by ZipRecruiter

At Carvana, we sell cars, but we're not salespeople. Since 2013, we've been making it our mission to change the way people buy cars. We saw a huge problem with how much it can suck to buy a car the traditional way, so we committed ourselves to tackling one of the largest, yet-to-be-disrupted markets in the world - the $1T per year U.S. car market (yes, that's $Trillion with a "T").

Industry

Automobile dealers

Company size

5,001 - 10,000 Employees

Headquarters location

Tempe, AZ, US

Year founded

2011

View All Carvana Jobs

Apply