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Sezzle

Fraud Data Analyst

Sezzle · Latin America

Posted 13 days ago

or apply directly on Sezzle's site. We never take the application ourselves.

Is this posting real?

This role has been open
13 days
Sezzle's roles stay open a median of 45 days
Reposted
No
Salary listed
No
6% of Sezzle's roles list one
Ghost-job risk at Sezzle
low
0 stale, 17 reposted of 205 open
Hiring momentum
293 roles opened in the last 90 days
↑ up vs. the prior 90 days
Last confirmed on the employer's board
2026-09-17

Measured from postings appearing on and disappearing from Sezzle's own greenhouse board since 2026-08-03. Full hiring picture for Sezzle.

About this role

As a Fraud Data Analyst at Sezzle, you will monitor transactions and customer accounts to identify and investigate suspicious activities. Your role involves utilizing SQL to analyze large datasets, developing fraud prevention strategies, and staying updated on emerging fraud trends. You will work both independently and as part of a team to protect the company and its customers from financial loss.

Our read on this posting2.6out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
4/5
pay transparency
0/5

Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Sezzle as an employer.

What you need

  • Bachelor's degree in a relevant field (e.g. Economics, Computer Science, Analytics, or a related field)
  • Minimum of two (2) years of experience in a fraud detection, prevention, or investigation role
  • Minimum of two (2) years of experience working with SQL and Python
  • Strong analytical and problem-solving skills with a keen attention to detail
  • Understanding of common fraud typologies (e.g., account takeover, identity theft, payment fraud, etc.)
  • Excellent written and verbal communication skills

Nice to have

  • Experience with fraud detection tools and platforms
  • Work experience in fintech, payments, lending, banking, or financial institutions
  • Degree in statistics, math, finance, economics, or related quantitative discipline; graduate degree a plus

What you get

  • Salary range of $2,900 - 3,750 per month (Gross in USD)

Worth weighing

  • Only English resumes will be accepted
  • The role requires a strong understanding of fraud prevention strategies and tools
  • Candidates must be comfortable leveraging AI to enhance productivity, research, and communication

Summarised from Sezzle's posting. Read the full original.

Listed by Sezzle on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.

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