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Contractual Debit Card Fraud Analyst Jobs (NOW HIRING)

Sr Fraud Analyst

San Jose, CA · On-site

$140K - $165K/yr

Drive insights related to credit/debit card payments, fraud prevention, authorization optimization ... Design deep-dive analyses, experiments, and data-driven strategies to improve payment success rates ...

Fraud Team Support Analyst

Newark, DE · On-site

$53K - $86K/yr

Provide ongoing analytics and rule recommendations for debit and credit card products. * Support handling emergency fraud trend review and ad hoc rule implementations, including outside of normal ...

Fraud Team Support Analyst

Newark, DE · On-site

$53K - $86K/yr

Provide ongoing analytics and rule recommendations for debit and credit card products. * Support handling emergency fraud trend review and ad hoc rule implementations, including outside of normal ...

Staff Fraud Analyst

New York, NY · On-site

$67K - $89K/yr

The role We are searching for a passionate Staff Fraud Risk Analyst who is highly self-motivated, analytical, with a decent understanding of debit card fraud transactions and account takeover fraud ...

The role We are searching for a passionate Staff Fraud Risk Analyst who is highly self-motivated, analytical, with a decent understanding of debit card fraud transactions and account takeover fraud ...

Fraud Analyst

North Liberty, IA · On-site

$29.17 - $34.11/hr

Responsible for the accurate and timely completion of credit card and debit card member disputes ... Manages check fraud claims. * Documents, accurately and thoroughly, all actions taken on a case.

Fraud Analyst

North Liberty, IA · On-site

$29.17 - $34.11/hr

Responsible for the accurate and timely completion of credit card and debit card member disputes ... Manages check fraud claims. * Documents, accurately and thoroughly, all actions taken on a case.

The Fraud Analyst I is expected to make informed decisions within his or her scope of authority ... Processes plastic card fraud claims and ensures compliance with Federal Regulation E and/or Federal ...

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Johnson Service Group (JSG) is seeking a Fraud Analyst for a financial services organization in ... Support Regulation E and credit card dispute/claim processes, including claim entry and ...

... Fraud Operations, and Enterprise Technology - that enable the team to prioritize technology ... Manage vendor performance against contractual SLAs and drive accountability for production ...

... Fraud Operations, and Enterprise Technology - that enable the team to prioritize technology ... Manage vendor performance against contractual SLAs and drive accountability for production ...

... Fraud Operations, and Enterprise Technology - that enable the team to prioritize technology ... Manage vendor performance against contractual SLAs and drive accountability for production ...

... Fraud Operations, and Enterprise Technology - that enable the team to prioritize technology ... Manage vendor performance against contractual SLAs and drive accountability for production ...

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Contractual Debit Card Fraud Analyst information

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How much do contractual debit card fraud analyst jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for contractual debit card 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 cities are hiring for Contractual Debit Card Fraud Analyst jobs?

Cities with the most Contractual Debit Card Fraud Analyst job openings:

What are the most commonly searched types of Debit Card Fraud Analyst jobs?

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What states have the most Contractual Debit Card Fraud Analyst jobs?

States with the most job openings for Contractual Debit Card Fraud Analyst jobs include:

Sr Fraud Analyst

ALOIS LLC

San Jose, CA • On-site

$140K - $165K/yr

Full-time

Re-posted 4 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.