ExtendHiring

Senior Analyst, Fraud Intelligence

  • Remote, United States
  • Senior
  • Posted 10 days ago
In one line

Analytics role on a fraud team, digging through large sets of transaction and behaviour data to spot abuse and improve how AI review handles cases.

About the role

Signals from hundreds of millions of users feed the models and rules that decide what gets caught and what passes. Findings are expected to change prompts, rules and workflows, not just fill a slide.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
SQL, Python, Pandas, NumPy, Scikit-learn, Statistical analysis, Data wrangling
Posted
19 Oct 2026
Last checked
29 Oct 2026

What you will do

  • Analyse behavioural, transactional and interaction data at scale to find signs of fraud and abuse
  • Build monitoring frameworks and dashboards, and respond fast when a new fraud tactic appears
  • Check the quality of an AI review agent's case summaries and recommended decisions, then improve prompts, rules and workflows
  • Give the machine learning team feature ideas and feedback on model scoring from investigation results
  • Review code and mentor junior analysts on SQL and analysis practice

What they look for

  • Three or more years in fraud analytics, ideally in e-commerce or retail
  • Solid grasp of statistical analysis, modelling and data wrangling
  • Proficiency in SQL and hands-on Python with pandas, NumPy and scikit-learn
  • A proactive analyst who likes turning messy data into decisions

Nice to have

  • Prior experience in a startup or high-growth company

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Connector URL
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Prompt
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Questions about this job

Can I do this job remotely, and from which countries?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: three or more years in fraud analytics, ideally in e-commerce or retail; solid grasp of statistical analysis, modelling and data wrangling; proficiency in SQL and hands-on Python with pandas, NumPy and scikit-learn. Skills it names include SQL, Python, Pandas, NumPy.

How do I apply with Keywordise AI?

Press the Apply with Keywordise AI button and add your CV. Keywordise tailors your CV and cover letter to this posting and sends the application for you, with a free 7-day trial and no card.

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