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Credit Risk Fraud Analyst Jobs (NOW HIRING)

Analytics Manager, Credit Cards Location: Remote Reports To: Head of Business Analytics The Company ... intersection of Credit Risk, Portfolio Management, Fraud, Marketing, and Business Strategy.

Analytics Manager, Credit Cards Location: Remote Reports To: Head of Business Analytics ๏ปฟThe ... intersection of Credit Risk, Portfolio Management, Fraud, Marketing, and Business Strategy.

As a Fraud Analyst, you will own day-to-day fraud detection and investigation for your assigned ... Experience with fraud metrics reporting to management committees (Credit Committee, Risk Committee ...

Credit Risk Reports to: Head of Credit Level: Mid-Level / Senior Location: Addison, TX (5 days/week ... This role sits at the intersection of fraud, credit, and analytics, and will directly impact early ...

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Fraud Analyst

Atlanta, GA ยท On-site

$26 - $30/hr

... seeking a Fraud Analyst to join their team. START DATE SEPT 8th! Contract until Jan/Feb ... Monitor real time queues and identify high risk transactions within the business portfolio

Credit Risk Reports to: Head of Credit Level: Mid-Level / Senior Location: Addison, TX (5 days/week ... This role sits at the intersection of fraud, credit, and analytics, and will directly impact early ...

The Risk Analyst initiates and supports Credit Risk Management analysis and decisions using queries, reports, and visual tools. Produces and analyzes ongoing risk management reports and analyses.

Monitor debit and credit card account activity across 14 markets for potential fraud. Conduct ... Analyze reports to identify fraud trends and share findings with management. Maintain accurate ...

The Risk Analyst initiates and supports Credit Risk Management analysis and decisions using queries, reports, and visual tools. Produces and analyzes ongoing risk management reports and analyses.

Monitors, identifies, and analyzes financial card fraud risk. Establishes effective processes ... Monitors credit card dispute processing and coordinates collection activities for unfounded ...

Senior Credit Risk Analyst Function: Credit Risk Reports to: Head of Credit Level: Mid-Level ... Familiarity with credit decisioning, underwriting strategy, or fraud detection * Experience working ...

Senior Credit Risk Analyst Function: Credit Risk Reports to: Head of Credit Level: Mid-Level ... Familiarity with credit decisioning, underwriting strategy, or fraud detection * Experience working ...

Senior Credit Risk Analyst Function: Credit Risk Reports to: Head of Credit Level: Mid-Level ... Familiarity with credit decisioning, underwriting strategy, or fraud detection * Experience working ...

Credit Risk Analyst Seniors use quantitative methods to identify credit risk, develop and deliver ... Analyze internal and external scores/data for use in identifying first party fraud. * Apply ...

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Credit Risk Analyst Seniors use quantitative methods to identify credit risk, develop and deliver ... Analyze internal and external scores/data for use in identifying first party fraud. * Apply ...

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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 Aug 9, 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?

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 August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $113,881 per year, or $54.8 per hour.

Analytics Manager, Credit Cards

Sunbit

Los Angeles, CA โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Job description

Description
Title: Analytics Manager, Credit Cards
Location: Remote
Reports To: Head of Business Analytics
The Company:
Sunbit builds financial technology for real life. Our AI-native platform helps more people get to "yes" at the moments that matter with personalized offers, transparent terms, and no added consumer fees. In stores, practices and service centers across the country, Sunbit provides a fast, fair pay-over-time option. For everything else, the Sunbit Credit Card delivers a modern, no-fee credit experience managed in a powerful mobile app.
We are guided by people-centered values: Serve Others Before Self, Include Always, Connect Genuinely, Innovate for Good. These values shape how we build, how we support customers and merchants, and how we work with each other.
What makes Sunbit different is an AI-native infrastructure that runs through the full customer and merchant journey. Our interconnected AI systems power instant decisioning, streamline fraud checks with human-in-the-loop safeguards, and enable highly personalized offers at scale. The result is a quick, fair, and simple experience for consumers and merchants.
We pair this technology with inclusion and transparency. Sunbit delivers industry-leading approval rates - 90%+ in auto service and 85%+ in dental - while maintaining zero consumer fee-based revenue. It is a better way to serve people and merchants, proven at scale.
Today, Sunbit is available across a nationwide, in-person merchant network of 30,000+ locations spanning auto service centers, dental and optical practices, veterinary clinics, and other specialty services. We help teams say "yes" more often and help customers move forward with confidence.
The Role:
We're looking for a highly analytical, hands-on Analytics Manager to lead analytics for Sunbit's Credit Card portfolio. This is a high-impact individual contributor role that sits at the intersection of Credit Risk, Portfolio Management, Fraud, Marketing, and Business Strategy.
Reporting directly to the Head of Analytics, you'll serve as the primary analytics partner for our Credit Card business-transforming complex data into actionable insights that influence product strategy, portfolio growth, risk management, and executive decision making.
Success in this role requires far more than technical expertise. We're looking for someone who naturally takes ownership, proactively identifies opportunities, independently partners across Engineering, Product, Credit Risk, Fraud and Business leadership, and helps drive decisions rather than simply reporting on them.
This role is ideal for someone with deep Credit Card analytics experience who enjoys operating in a fast-paced fintech environment where speed, business judgment, and execution matter.
What You'll Do:
  • Be a catalyst to help the card business functions operate strategically using data.
  • Drive evaluation of competing priorities across business functions and appropriate disposition solutions that are right-sized and scalable.
  • Drive business growth by identifying new opportunities and hypothesis development using data across Credit Risk, Portfolio management, Fraud and marketing.
  • Independently manage cross-functional relationships across Product, Engineering, Operations, Credit Risk, and executive leadership.
  • Influence stakeholders through clear communication and data-driven recommendations.
  • Develop A/B test designs to implement a robust test and learn strategy.
  • Perform ad-hoc analysis ranging from open exploration data analysis to specific root cause analysis.
  • Analyze Credit Card engagement and credit performance and identify levers and patterns that can increase card usage and utilization.
  • Liaison with Data Engineering and Product to build sustainable and scalable data solutions to address business' current and future needs.
  • Own and manage BI reports becoming a focal point for business' data and analytics needs.
  • Leverage AI tools to accelerate analytical velocity and democratize data through self-service agents and tools.

Requirements
What you'll bring:
  • 6+ years of experience in Analytics, Data Science, Decision Science, Credit Risk, or a related quantitative function.
  • Must have 4+ years supporting Credit Card portfolios, with deep experience in Credit Risk, Portfolio Management, Fraud Analytics, or Consumer Lending.
  • 4+ years of working with and proficient in SQL and excited about acquiring new technical skills.
  • 4+ years working with major BI platforms like Tableau or Sigma.
  • 2+ years of hands-on experience in using Python or R to solve analytical problems.
  • Bachelor's degree in Statistics, Mathematics, Economics, Engineering, Computer Science, Analytics, or another quantitative field (Master's degree preferred).
  • Hands-on technically and excited to drive things end-to-end.
  • Passionate about solving real-world problems with data.
  • Have a growth mindset and take proactive ownership.
  • An 80/20 mindset-delivering meaningful business impact quickly while maintaining analytical quality.
  • Strong communication skills with the ability to simplify complex analytical findings.

Why Choose Sunbit?
Sunbit is recognized as one of the fastest-growing and most admired fintech companies, earning honors from Inc. 5000 (four consecutive years), Forbes Fintech 50, Deloitte Technology Fast 500, Financial Times, and FinTech Breakthrough for its innovation and impact. The company has also been featured among Newsweek's Most Loved Workplaces and CB Insights' Unicorn Companies, reflecting a valuation of $1.1B.
People choose Sunbit for its people-first culture rooted in service, inclusion, and real-world impact. Powered by AI that helps people in life's critical moments-offering high approvals, speed, and zero fees-Sunbit has achieved proven scale across tens of thousands of merchants and millions of transactions. Its fast, fair, and simple financial products empower consumers and partners alike through clarity and trust.
How We Pay:
We believe in paying fairly and equitably based on a number of factors including but not limited to previous experience, relevant work history, interview performance, geographical location, internal equity, and expected level of ownership.
  • We are targeting a salary of $150,000 - $170,000 per year for this role
  • This role will also be granted company equity via stock options

The Perks:
  • Mission driven, empowered, and collaborative culture
  • Competitive pay and stock options
  • Unlimited PTO
  • Comprehensive health benefits (Medical, Dental, Vision, Life, EAP, Parental Leave, HSA, & more)
  • Newly added HSA and Pet Insurance
  • 401(k) with company match
  • Cell Phone Stipend
  • Team-based strategic planning and ownership of deliverables

Sunbit is an Equal Opportunity Employer. We strive to provide a professional & welcoming workplace for all employees.
Recruitment Fraud Disclaimer
We've been made aware of fraudsters impersonating Sunbit employees during the hiring process. Please note that all official communication will come from a @sunbit.com email address, through our applicant tracking platform @sunbit.comeet-notifications.com or directly via LinkedIn. We will never ask for your age, Social Security number, bank account details, payment of any kind, or other unrelated personal information during the application process. Our hiring process always includes interviews, either by phone, zoom, or in person, before any offer is made. If something feels suspicious, please contact us at hr@sunbit.com to confirm.
We ask that you contact hr@sunbit.com only about potential instances of fraud. hr@sunbit.com does not reach our recruiting team directly. Your application directly through the posting is the best way to ensure that your candidacy is reviewed by our team. Due to the volume of applications, we will not respond to nor forward emails about your candidacy that are sent to hr@sunbit.com directly, and your email about your application will be deleted from our systems.