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Credit Risk Fraud Analyst Jobs (NOW HIRING)

Strong understanding of credit risk strategy, fraud, collections, and model development across the lending lifecycle, including AI/ML applications in lending; ability to review and guide analytical ...

About the Role We're seeking a Fraud Analyst to serve as the founding member of our risk team. In ... Strong foundational understanding of digital payment networks, merchant-side credit card processing ...

Oklahoma's Credit Union has been happy to help Oklahomans for over 60 years. From the beginning ... Make timely, well-informed decisions to protect accounts and reduce potential risk or loss. * Adapt ...

Build and lead a high-performing team of credit risk managers and analysts; set goals, coach ... fraud-adjacent losses, and counterparty default. * Deep understanding of payments ecosystem ...

Build and lead a high-performing team of credit risk managers and analysts; set goals, coach ... fraud-adjacent losses, and counterparty default. * Deep understanding of payments ecosystem ...

WI · On-site

$150 - $200/hr

Build and lead a high-performing team of credit risk managers and analysts; set goals, coach ... fraud-adjacent losses, and counterparty default. * Deep understanding of payments ecosystem ...

Fraud & Risk Analyst

Brattleboro, VT · On-site

$60 - $80/hr

About 802 Credit Union At 802 Credit Union, we believe in empowering our members and enriching the ... Position Overview The Fraud & Risk Analyst works with BSA & Compliance to identify risk and ...

Showing results 21-40

Credit Risk Fraud Analyst information

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$37K

$113.9K

$197.5K

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

As of Sep 8, 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.

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.

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

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.

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 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.

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 are popular job titles related to Credit Risk Fraud Analyst jobs?

For Credit Risk Fraud Analyst jobs, the most frequently searched job titles are:

Infographic showing various Credit Risk Fraud Analyst job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 89% Full Time, 8% Part Time, and 2% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution, with an average salary of $113,881 per year, or $54.8 per hour.

Credit Risk Practice Lead

San Francisco, CA • On-site

$200 - $250/hr

Other

Posted 7 days ago


Job description

We are seeking a highly skilled and experienced Credit Risk Practice Lead to lead our onshore consulting and delivery teams within the banking/fintech domain (digital lending). The ideal candidate will oversee delivery across multiple strategic client accounts, where our teams work across credit risk strategy, fraud, collections, and model development.

The individual needs to have strong knowledge of the lending business, data and domain across the customer lifecycle, along with the ability to shape AI-led solutions for client problems. They will own senior client relationships, serve as a domain expert to clients, drive high-quality project delivery, and be responsible for hiring, managing and developing the team.

Key Roles and Responsibilities
  • Serve as the practice leader for multiple strategic fintech/digital lending accounts, owning end-to-end onshore delivery across credit risk, fraud, collections, and modeling workstreams.
  • Manage, mentor and develop a team of onshore consultants and managers deployed across client engagements, owning performance management, coaching, and career development
  • Serve as the senior client contact for assigned accounts, engaging with C-level and senior executives; lead business reviews, manage escalations, and ensure high client satisfaction
  • Drive projects end to end: scope, plan, staff, and oversee execution of analytical and strategic initiatives, ensuring quality and on-time delivery
  • Own hiring and growth of the onshore team: define role requirements, recruit, interview, and onboard new consultants to support account expansion.
  • Lead AI solutioning for clients, translating lending business challenges into AI/ML and GenAI-enabled solutions, from problem framing through solution design and delivery.
  • Act as a credit risk subject matter expert, delivering SME presentations, industry perspectives, and best-practice recommendations to client leadership teams
  • Collaborate with offshore teams and practice leadership to ensure seamless, integrated global delivery.
  • Establish delivery governance, best practices, and quality standards across accounts, and identify opportunities to grow and expand existing engagements.
Candidate Requirements:
  • Strong business knowledge of consumer lending across the customer lifecycle, including acquisitions/underwriting, fraud, account management, and collections, as well as bureau data.
  • 12+ years of experience in credit risk and analytics within banking, fintech, or financial services, including analytics consulting, solution design, and client management.
  • Proven experience leading onshore delivery teams and managing multiple client accounts simultaneously.
  • Strong track record of managing senior client relationships, including C-level executives, and growing engagements.
  • Experience across credit risk strategy, fraud, collections, and model development; experience with AI/ML and GenAI solutioning is a strong plus.
  • Demonstrable leadership ability, superior problem solving and people management skills, with experience hiring and building high-performing teams
  • Master’s or similar in Economics, Statistics, Computer Science/Engineering, Operations Research, or a related quantitative field; candidates with BA/BS degrees in the same fields from top-tier academic institutions are also welcome to apply
Skills
  • Strong understanding of credit risk strategy, fraud, collections, and model development across the lending lifecycle, including AI/ML applications in lending; ability to review and guide analytical work.
  • Working knowledge of SQL and Python is good to have.
  • Strong program and engagement management skills, including planning, staffing, delivery governance, and engagement financials.
  • Excellent communication, presentation and story building skills; ability to explain complex concepts to senior non-technical stakeholders.
What we offer
  • EXL Analytics offers an exciting, fast paced and innovative environment, which brings together a group of sharp and entrepreneurial professionals who are eager to influence business decisions. From your very first day, you get an opportunity to work closely with highly experienced, world class analytics consultants.
  • You will learn effective teamwork and time-management skills - key aspects for personal and professional growth
  • Analytics requires different skill sets at different levels within the organization. At EXL Analytics, we invest heavily in training you in all aspects of analytics as well as in leading analytical tools and techniques.
  • We provide guidance/ coaching to every employee through our mentoring program wherein every junior level employee is assigned a senior level professional as advisors.
  • Sky is the limit for our team members. The unique experiences gathered at EXL Analytics sets the stage for further growth and development in our company and beyond.

The typical base pay range for this role across the U.S. is USD $202,000 - $280,000 per year.

For more information on benefits and what we offer please visit us at http2s://www.exlservice.com/us-careers-and-benefits

The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale.

Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position.

The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.

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