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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 ...

Fraud Analyst Role Overview: We are seeking an experienced Data Analyst to join our dynamic ... You will work closely with payments, risk, marketing, data, and engineering teams to ensure the ...

Fraud Analyst Role Overview: We are seeking an experienced Data Analyst to join our dynamic ... You will work closely with payments, risk, marketing, data, and engineering teams to ensure the ...

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 ...

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 ...

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 Sr. Fraud Analyst - Gift Cards is responsible for all data, processes, and strategy around Gift ... Experience in gift card or payments fraud mitigation. * B.S or higher in Applied Mathematics ...

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 ...

Payments & Fraud Analytics * Support and enhance the development of payments and fraud KPIs, performance reporting, and post-launch analysis of new payment features and experiments * Write and ...

Fraud Analyst

Lynnwood, WA · On-site

$18 - $28/hr

Fraud Analyst Department: Digital Reports To: Order Verification Supervisor FLSA Status: Non-Exempt ... Prioritize and manage daily workflow in fraud and payment exception queues to ensure timely ...

The Fraud Analyst assumes the role of the Verafin administrator for the Bank's fraud management ... Updates Verafin or other case management software to reflect payment status and monies owed

Prior experience in fraud investigations, financial services, payments, or risk management ... Strong analytical, organizational, and communication skills. * Excellent communication, analytical ...

... Payments using a variety of systems. ● Analyze dispute cases and merchant documentation to determine chargeback eligibility. ● Keep management up to date on fraud-related incidents, emerging ...

... Payments using a variety of systems. • Analyze dispute cases and merchant documentation to determine chargeback eligibility. • Keep management up to date on fraud-related incidents, emerging ...

Protect the integrity of the prepaid and payments systems, adhere to the rules, policies, and procedures to mitigate fraud and chargeback risks to clients and customers. * Review and analyze ...

Protect the integrity of the prepaid and payments systems, adhere to the rules, policies, and procedures to mitigate fraud and chargeback risks to clients and customers. * Review and analyze ...

$90K - $110K/yr

The GRC Fraud Analyst partners closely with Fraud Operations, Compliance, Technology, Innovation ... Conduct horizon scanning for new fraud typologies related to digital banking, payments, fintech ...

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Payments Fraud Analyst information

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How much do payments fraud analyst jobs pay per hour?

As of Jun 10, 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.

More about Payments Fraud Analyst jobs
What cities are hiring for Payments Fraud Analyst jobs? Cities with the most Payments Fraud Analyst job openings:
What states have the most Payments Fraud Analyst jobs? States with the most job openings for Payments Fraud Analyst jobs include:
What job categories do people searching Payments Fraud Analyst jobs look for? The top searched job categories for Payments Fraud Analyst jobs are:

Sr Fraud Analyst

ALOIS LLC

San Jose, CA • On-site

$140K - $165K/yr

Full-time

Posted 20 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.