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Payments Fraud Analyst Jobs (NOW HIRING)

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 ...

Stripe Payments Fraud Investigator Stripe is a financial infrastructure platform for businesses ... You'll conduct deep-dive analyses of merchant accounts, lead cross-functional projects, and ...

Stripe Payments Fraud Investigator Stripe is a financial infrastructure platform for businesses ... You'll conduct deep-dive analyses of merchant accounts, lead cross-functional projects, and ...

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 ...

What you'll do As a Payments Fraud Investigator, you'll play a critical role in safeguarding our ... You'll conduct deep-dive analyses of merchant accounts, lead cross-functional projects, and ...

The Fraud Analyst will assume, but not be limited to, the following responsibilities: * Review and ... Assists with fraudrelated risk assessments, including new account and loan openings, payments 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 ... Assists with fraud-related risk assessments, including new account and loan openings, payments ...

Fraud Analyst

Altadena, CA · On-site

$32 - $48/hr

The Fraud Analyst will assume, but not be limited to, the following responsibilities:Review and ... Assists with fraud‑related risk assessments, including new account and loan openings, payments ...

What you'll do As a Payments Fraud Investigator, you'll play a critical role in safeguarding our ... You'll conduct deep-dive analyses of merchant accounts, lead cross-functional projects, and ...

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 ...

Working closely with Product, Payments, Data, and Engineering teams, you'll help strengthen fraud ... Analyze large datasets using SQL to identify fraud patterns, anomalies, emerging attack vectors ...

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 ...

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 ...

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 ...

The Fraud Analyst is part of the Risk & Compliance team within Nymbus. The Fraud Analyst is ... Bill Payments using a variety of systems. Analyze dispute cases and merchant documentation to ...

Fraud Analyst

Chicago, IL · On-site

$80K - $100K/yr

This role requires an understanding of fraud typologies specific to brokerage/fintech platforms - including account takeover, identity fraud, and payment/ACH fraud - along with strong analytical ...

Fraud Analyst

Chicago, IL · On-site

$80K - $100K/yr

This role requires an understanding of fraud typologies specific to brokerage/fintech platforms - including account takeover, identity fraud, and payment/ACH fraud - along with strong analytical ...

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Payments Fraud Analyst information

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How much do payments fraud analyst jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for payments 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 is the difference between Payments Fraud Analyst vs Payments Security Specialist?

AspectPayments Fraud AnalystPayments Security Specialist
CredentialsCertifications like CFE, CRCM, or fraud-specific trainingSecurity certifications such as CISSP, CISA, or PCI DSS
Work EnvironmentFinancial institutions, e-commerce companies, payment processorsBanking, fintech, payment technology firms
Industry UsageFocuses on detecting and preventing payment fraudFocuses on securing payment systems and infrastructure

While both roles involve payment security, the Payments Fraud Analyst primarily detects and investigates fraudulent transactions, whereas the Payments Security Specialist focuses on implementing security measures to protect payment systems from breaches and vulnerabilities.

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What job categories do people searching Payments Fraud Analyst jobs look for?

The top searched job categories for Payments Fraud Analyst jobs are:

Infographic showing various Payments Fraud Analyst job openings in the United States as of August 2026, with employment types broken down into 61% Full Time, 38% Part Time, and 1% Contract. Highlights an 68% Physical, 2% Hybrid, and 30% Remote job distribution, with an average salary of $80,350 per year, or $38.6 per hour.

Sr Fraud Analyst

ALOIS LLC

San Jose, CA • On-site

$140K - $165K/yr

Full-time

Re-posted yesterday


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.