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Credit Risk Fraud Analyst Jobs (NOW HIRING)

In this role, you will analyze and review customer applications, transactions, and payment data to ... risk management efforts. You will report directly to Director of Acquisitions Credit & Fraud ...

In this role, you will analyze and review customer applications, transactions, and payment data to ... risk management efforts. You will report directly to Director of Acquisitions Credit & Fraud ...

In this role, you will analyze and review customer applications, transactions, and payment data to ... risk management efforts. You will report directly to Director of Acquisitions Credit & Fraud ...

Fraud Analyst

Altadena, CA · On-site

$32 - $48/hr

The Fraud Analyst will assume, but not be limited to, the following responsibilities: * Review and ... Certification through America's Credit Union (Risk, Compliance, or Fraud), CFE, ACAMS, or similar ...

Fraud Analyst

Altadena, CA · On-site

$32 - $48/hr

The Fraud Analyst will assume, but not be limited to, the following responsibilities: * Review and ... Certification through America's Credit Union (Risk, Compliance, or Fraud), CFE, ACAMS, or similar ...

$90K - $110K/yr

First Entertainment Credit Union is looking for a GRC Fraud Analyst who resides within Enterprise Risk Management (ERM) and provides independent second-line oversight of enterprise fraud risk across ...

The Fraud Analyst will assume, but not be limited to, the following responsibilities: * Review and ... Certification through America's Credit Union (Risk, Compliance, or Fraud), CFE, ACAMS, or similar ...

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Credit Risk Fraud Analyst information

See salary details

$37K

$113.9K

$197.5K

How much do credit risk fraud analyst jobs pay per year?

As of Jun 25, 2026, the average yearly pay for credit risk fraud analyst in the United States is $113,881.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $140,500.00 per year, depending on experience, location, and employer.

How does a Credit Risk Fraud Analyst typically collaborate with other departments to minimize fraud losses?

Credit Risk Fraud Analysts work closely with teams such as IT, compliance, customer service, and operations to identify, investigate, and mitigate fraudulent activities. They regularly communicate findings from data analysis to these departments, ensuring that suspicious patterns are addressed promptly. Collaboration often includes participating in cross-functional meetings, sharing insights on emerging fraud trends, and helping to develop new prevention strategies. This teamwork is essential for creating a holistic approach to managing risk and protecting both the organization and its customers.

What are the key skills and qualifications needed to thrive as a Credit Risk Fraud Analyst, and why are they important?

To thrive as a Credit Risk Fraud Analyst, you need strong analytical skills, a background in finance or statistics, and a solid understanding of risk management principles. Familiarity with fraud detection software, data analysis tools like SQL or Python, and relevant certifications such as Certified Fraud Examiner (CFE) are typically required. Strong attention to detail, problem-solving abilities, and effective communication make candidates stand out in this role. These skills are crucial for accurately identifying fraudulent activities, minimizing losses, and maintaining the integrity of financial institutions.

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

AspectCredit Risk Fraud AnalystCredit Analyst
Primary FocusDetecting and preventing fraud related to credit riskAssessing creditworthiness of borrowers
Skills & CertificationsFraud detection, risk assessment, certifications like CFECredit analysis, financial statement evaluation, certifications like CFA or CCFA
Work EnvironmentFinancial institutions, fraud prevention teamsBanks, lending companies, credit departments
Industry UsageHigh in fraud prevention and risk managementHigh in lending and credit approval processes

While both roles involve credit assessment, the Credit Risk Fraud Analyst specializes in identifying and preventing fraudulent activities related to credit, whereas the Credit Analyst focuses on evaluating a borrower's creditworthiness to approve loans. Understanding these differences helps in choosing the right career path or job search focus.

What does a Credit Risk Fraud Analyst do?

A Credit Risk Fraud Analyst is responsible for identifying, assessing, and mitigating risks related to credit fraud within financial institutions. They analyze transaction patterns, customer profiles, and credit data to detect suspicious activities or potential fraud. Their work involves using analytical tools and data models to monitor accounts, investigate anomalies, and recommend controls to prevent losses. By staying updated on emerging fraud trends, they help protect the company and its customers from financial crimes.
More about Credit Risk Fraud Analyst jobs
What cities are hiring for Credit Risk Fraud Analyst jobs? Cities with the most Credit Risk Fraud Analyst job openings:
What states have the most Credit Risk Fraud Analyst jobs? States with the most job openings for Credit Risk Fraud Analyst jobs include:
What job categories do people searching Credit Risk Fraud Analyst jobs look for? The top searched job categories for Credit Risk Fraud Analyst jobs are:
Infographic showing various Credit Risk Fraud Analyst job openings in the United States as of June 2026, with employment types broken down into 97% Full Time, 2% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $113,881 per year, or $54.8 per hour.
Director, Lending & Credit Risk Analytics

Director, Lending & Credit Risk Analytics

Cash Flow Solutions, Inc.

Alpharetta, GA • On-site

Other

Medical, Retirement

This job post has expired today. Applications are no longer accepted.


Job description

Director, Lending & Credit Risk Analytics

The Director of Lending & Credit Risk Analytics is a senior, customer-facing leader within ValidiFI's Data Science organization, owning lending and credit risk interpretation across the company with a focus on non-prime and alternative credit use cases. This role operates with significant autonomy, serving as the day-to-day owner of lending analytics while partnering closely with the VP of Data Science on strategy and priorities. Responsibilities include overseeing analytics workflows across SQL-based data stores, Power BI reporting, and Excel-driven analysis, as well as driving insight-led enhancements to ValidiFI's risk platform by shaping new features and models informed by lender needs, emerging data signals, and real-world decisioning gaps.

Key Responsibilities

Lending & Credit Risk Leadership

  • Serve as ValidiFI's internal authority on lending, underwriting, fraud, and credit-risk analytics, with deep domain fluency in non-prime and alternative lending
  • Ensure analyses reflect how lenders actually evaluate risk, including loss exposure, fraud risk, approval and conversion lift, and early-life performance indicators
  • Act as the final interpretive checkpoint for customer-facing lending analyses prior to delivery
  • Review and approve analytical outputs for accuracy, relevance, and real-world defensibility

Customer Analytics Management

  • Own prioritization, scoping, and execution of customer-driven analytical requests
  • Lead, mentor, and develop Customer Analytics team members (current and future)
  • Establish repeatable analytical frameworks for common lending use cases (e.g., approval optimization, fraud segmentation, early delinquency indicators)
  • Set standards for analytical rigor, documentation quality, and narrative consistency

Cross-Functional Partnership

  • Partner closely with Sales, Client Success, Product, and R&D on lender-specific questions and insights
  • Translate lender feedback into structured input for R&D, highlighting gaps between model output, lender interpretation, and real-world decision constraints
  • Influence product roadmap priorities and go-to-market messaging based on lender realities and market norms

Strategic Platform Ownership

  • Serve as the public and internal face of ValidiFI's data studies and lending analytics strategy
  • Drive conversations and recommendations around new or enhanced risk model features and capabilities
  • Ensure consistency, credibility, and defensibility across all lender-facing analytical work
Qualifications:
  • 7–10+ years of experience in lending, credit risk, fraud analytics, or financial risk
  • Direct experience supporting banks, fintech lenders, or non-prime / alternative credit providers
  • Deep understanding of underwriting and credit policy design, fraud detection techniques, portfolio monitoring, and early-risk indicators
  • Familiarity with regulatory and compliance considerations relevant to lending
  • Ability to combine quantitative outputs with real-world lending judgment to produce conclusions that withstand scrutiny from both technical and business stakeholders
  • Strong ability to translate complex analytics into clear, lender-ready narratives
  • Fluent in core data-science concepts and metrics (e.g., AUC, KS, lift, stability, and model drift)
  • Familiarity with analytical languages such as R (and similar tools) is beneficial but not required

A team where you can make an impact, and where you and your experience are valued. We offer comprehensive compensation and healthcare packages, 401k matching, and flexible time off.

No agencies please. ValidiFI provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity or national origin, citizenship, veteran's status, age, disability status, genetics or any other category protected by federal, state, or local law.