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Payment Fraud Analyst Jobs (NOW HIRING)

ALOIS LLC

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

Senior - Payments & Fraud Analytics Employment: Full-Time Location: San Jose, CA (Hybrid) | Full-Time Industry: Fintech For one of our Fortune client we are hiring for a high-impact Payments & Fraud ...

Discord

Payments & Fraud Analyst

San Francisco, CA

$144K - $162K/yr

As a Payments & Fraud Analyst on Discord's Payments, Fraud & Risk team, you will own one or more of the team's core functions end-to-end - leading cross-functional programs, shaping fraud and ...

Triwill Group

$144K - $162K/yr

As a Payments & Fraud Analyst on Discord's Payments, Fraud & Risk team, you will own one or more of the team's core functions end-to-end -- leading cross-functional programs, shaping fraud and ...

Discord

Payments & Fraud Analyst

San Francisco, CA · On-site

$144K - $162K/yr

As a Payments & Fraud Analyst on Discord's Payments, Fraud & Risk team, you will own one or more of the team's core functions end-to-end - leading cross-functional programs, shaping fraud and ...

Candidate

Payments & Fraud Analyst

San Francisco, CA · On-site

$144K - $162K/yr

As a Payments & Fraud Analyst on Discord's Payments, Fraud & Risk team, you will own one or more of the team's core functions end-to-end -- leading cross-functional programs, shaping fraud and ...

Triwill Group

Payments & Fraud Analyst

San Francisco, CA · On-site

$144K - $162K/yr

As a Payments & Fraud Analyst on Discord's Payments, Fraud & Risk team, you will own one or more of the team's core functions end-to-end -- leading cross-functional programs, shaping fraud and ...

Candidate

$144K - $162K/yr

As a Payments & Fraud Analyst on Discord's Payments, Fraud & Risk team, you will own one or more of the team's core functions end-to-end -- leading cross-functional programs, shaping fraud and ...

Jackalope Digital LLC

$144K - $162K/yr

As a Payments & Fraud Analyst on Discord's Payments, Fraud & Risk team, you will own one or more of the team's core functions end-to-end - leading cross-functional programs, shaping fraud and ...

Weave

Fraud Analyst

Lehi, UT · On-site

Our Payments Risk Management Team is seeking a highly motivated and detail-oriented Fraud Analyst to be the cornerstone of our fraud management program. In this role, you will play a critical part in ...

SpaceXAI

Fraud Analyst

Palo Alto, CA

$100K - $135K/yr

We are seeking a Fraud Analyst to join our BSA/AML team. In this role, you will support the ... Experience in a fintech, payments, or digital banking environment. * CAMS, CFE, or other relevant ...

UnitedHealth-Grou

Senior Fraud Analyst - Remote

Draper, UT · On-site

$72K - $130K/yr

Growing together. - Senior Fraud Analyst - Eden Prairie, MN or Draper, UT (2374998) Senior Fraud ... Experience in healthcare payments, particularly healthcare payments fraud * Experience in Anti ...

SpaceXAI

Fraud Analyst

New York, NY · On-site

$100K - $135K/yr

We are seeking a Fraud Analyst to join our BSA/AML team. In this role, you will support the ... Experience in a fintech, payments, or digital banking environment. * CAMS, CFE, or other relevant ...

Pantera Capital

Fraud Analyst

Palo Alto, CA · On-site

$100K - $135K/yr

We are seeking a Fraud Analyst to join our BSA/AML team. In this role, you will support the ... Experience in a fintech, payments, or digital banking environment. * CAMS, CFE, or other relevant ...

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Payment Fraud Analyst information

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How much do payment fraud analyst jobs pay per hour?

As of Sep 10, 2026, the average hourly pay for payment fraud analyst in the United States is $38.63, according to ZipRecruiter salary data. Most workers in this role earn between $25.96 and $48.32 per hour, depending on experience, location, and employer.

What does a payment fraud analyst do?

A Payment Fraud Analyst is responsible for detecting and preventing fraudulent activities related to financial transactions, such as credit card payments and online purchases. They analyze transaction patterns, monitor suspicious activity, and use specialized software to identify potential fraud. These professionals also collaborate with law enforcement and other departments to investigate and resolve fraud cases. Their work helps protect organizations and customers from financial losses and maintains the integrity of payment systems.

What are the key skills and qualifications needed to thrive as a payment fraud analyst, and why are they important?

To thrive as a Payment Fraud Analyst, you need strong analytical skills, attention to detail, and a background in finance, accounting, or computer science, often supported by a relevant degree. Familiarity with fraud detection software, data analysis tools like SQL or Python, and knowledge of payment processing systems is typically required. Exceptional problem-solving, critical thinking, and communication skills help analysts identify suspicious patterns and collaborate with cross-functional teams. These competencies are crucial for minimizing financial losses, ensuring regulatory compliance, and maintaining customer trust in payment systems.

How does a payment fraud analyst typically collaborate with other departments to prevent fraudulent transactions?

Payment Fraud Analysts regularly work with teams across risk, compliance, IT, and customer service to identify and address potential threats. They analyze transaction data to detect suspicious patterns and communicate findings to relevant stakeholders, such as risk managers or law enforcement when necessary. Collaboration is key, as analysts often participate in cross-functional meetings to develop new fraud prevention strategies and ensure a coordinated response to emerging risks. Effective teamwork enhances fraud detection capabilities and ensures that all departments are aligned in protecting both the business and its customers.

What is the difference between Payment Fraud Analyst vs Payment Security Specialist?

AspectPayment Fraud AnalystPayment Security Specialist
CredentialsCertifications like CFE, ACFE, or fraud detection trainingCertifications such as CISSP, CISA, or security-focused credentials
Work EnvironmentFinancial institutions, e-commerce companies, payment processorsBanking, fintech firms, cybersecurity firms
Employer & Industry UsageUsed in industries handling online payments and transactionsUsed in organizations focusing on protecting payment infrastructure
Search & Comparison IntentPeople comparing roles related to payment fraud detectionIndividuals exploring payment security roles

The Payment Fraud Analyst focuses on detecting and preventing fraudulent transactions, analyzing suspicious activity, and working with fraud prevention tools. In contrast, the Payment Security Specialist emphasizes safeguarding payment systems from security breaches, implementing security protocols, and ensuring compliance. Both roles require knowledge of payment systems but differ in their primary focus—fraud detection versus security infrastructure.

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What are popular job titles related to Payment Fraud Analyst jobs?

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

Payment Fraud Analyst jobs near you
Infographic showing various Payment Fraud Analyst job openings in the United States as of September 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $80,350 per year, or $38.6 per hour.

Sr Fraud Analyst

San Jose, CA • On-site

ALOIS LLC
Recruiting and Staffing Services • 51 - 200 employees
Learn more about ALOIS LLCexternal

$140K - $165K/yr

Full-time

Re-posted 22 days ago

Job description

Senior - Payments & Fraud Analytics

Employment: Full-Time

Location: San Jose, CA (Hybrid) | Full-Time

Industry: Fintech
 

For one of our Fortune client we are hiring for a high-impact Payments & Fraud Analytics role with a fast-paced analytics team focused on optimizing payment performance, reducing fraud losses, and driving data-backed business decisions.

This opportunity is ideal for someone who combines strong analytical and technical skills with a consulting mindset and deep exposure to payments and fraud domains.

What You’ll Do
  • Analyze large-scale payment and fraud transaction data to identify trends, anomalies, and business opportunities.
  • Drive insights related to credit/debit card payments, fraud prevention, authorization optimization, chargebacks, and customer experience.
  • Build dashboards, reporting solutions, and visualizations using SQL, Tableau, and related analytics tools.
  • Partner closely with Product, Risk, Operations, and Engineering stakeholders to solve complex business problems.
  • Design deep-dive analyses, experiments, and data-driven strategies to improve payment success rates and reduce fraud exposure.
  • Translate complex analytical findings into clear recommendations for business and leadership teams.
  • Independently manage analytics initiatives in a client-facing and cross-functional environment.
What We’re Looking For
  • 3–10 years of experience in Payments Analytics, Fraud Analytics, Risk Analytics, or related domains.
  • Ideal experience range: 4–6 years.
  • Strong background in:
    • Credit/debit card payments
    • Payments fraud
    • Card fraud
    • Account takeover (ATO)
    • Fraud/risk analytics
    • Transaction analytics
  • Hands-on expertise in SQL is required; Python experience is strongly preferred.
  • Experience with Tableau or similar BI/reporting tools.
  • Strong analytical problem-solving and stakeholder communication skills.
  • Ability to work independently, manage ambiguity, and operate with a consulting mindset.
  • Prior experience within banking, fintech, payment processors, card networks, or financial services environments is highly preferred.
Preferred Backgrounds

Candidates from organizations such as banks, fintechs, payment processors, card networks, or fraud/risk consulting environments are strongly encouraged to apply.

Nice to Have
  • Experience with fraud modeling, experimentation, or A/B testing.
  • Exposure to risk decision engines, fraud tools, or chargeback processes.
  • Experience presenting insights to senior business stakeholders.

If you’re passionate about solving complex payments and fraud challenges using data, analytics, and strategic thinking, we’d love to connect.