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Fraud Analyst
Fraud AnalystRobert Half • San Francisco, CA, US
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Fraud Analyst

Fraud Analyst

Robert Half • San Francisco, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

We are looking for an experienced Fraud Analyst to join our team on a long-term contract basis in San Francisco, California. In this role, you will play a key part in fraud monitoring, data analysis, and strategic process improvement, ensuring the organization stays ahead of emerging risks. This is an exciting opportunity to contribute to a fast-paced environment while driving impactful changes in fraud prevention and detection.

Responsibilities :

  • Investigate flagged accounts and transactions to validate legitimate customers and reduce unnecessary friction.
  • Monitor fraud metrics such as fraud-to-sales ratios, false positives, and fraud pressure to identify trends and mitigate risks.
  • Analyze customer data to uncover patterns, close detection gaps, and refine fraud prevention strategies.
  • Develop and maintain dashboards and reports using tools like Snowflake and Tableau to track fraud KPIs and provide actionable insights.
  • Collaborate with cross-functional teams, including Product, Engineering, and Customer Success, to identify and address gaps in payment and sign-up processes.
  • Offer data-backed recommendations to minimize fraud losses and enhance detection accuracy.
  • Contribute to the development of scalable fraud detection policies and workflows to adapt to evolving trends.
  • Support the formulation of long-term fraud strategies while delivering short-term solutions to reduce exposure.
  • Serve as a trusted advisor to internal stakeholders by translating data insights into clear, actionable plans.
  • Possess 4–8+ years of experience in fraud and risk analysis, preferably within SaaS, eCommerce, or FinTech industries.
  • Demonstrate solid expertise in digital fraud, payment risks, chargebacks, and account abuse.
  • Proficient in querying and analyzing large datasets using Snowflake and other data tools; experience with Tableau or similar BI platforms.
  • Exhibit excellent communication skills, capable of presenting findings and influencing stakeholders effectively.
  • Able to balance detailed fraud investigations with strategic contributions to long-term fraud prevention initiatives.
  • Familiarity with fraud detection platforms such as Sift, Forter, or Signifyd is advantageous.
  • Self-motivated and capable of managing fraud detection workflows independently.
  • Proven ability to thrive in a fast-paced SaaS / FinTech environment, delivering both tactical execution and strategic insights.
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Fraud Analyst • San Francisco, CA, US

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