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From Home Fraud Analytics 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 ... Preferred Backgrounds Candidates from organizations such as banks, fintechs, payment processors ...

Avant LLC

Sr Associate, Fraud Analytics

Chicago, IL · On-site

$100K - $130K/yr

Use data to understand new ways of finding impactful insights from limited data sets and develop ... Own and run key processes to reduce fraud losses. * Analyze data, create models/strategies, and ...

OceanFirst Bank

Fraud Analyst Manager

Toms River, NJ · On-site

... analytics. Initiates and manages appropriate mitigation responses and techniques. Reviews alerts ... Ensures fraud detection alerts are generated timely from the fraud detection system and that any ...

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Sr Fraud Analyst

ALOIS LLC

San Jose, CA • On-site

$140K - $165K/yr

Full-time

Posted 9 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.