Home › Companies › Palmpaylimited › Junior Anti-Fraud Analyst
Junior Anti-Fraud Analyst
Palmpaylimited · Ikeja, Lagos State · Active · JazzHR / ApplyToJob
Job facts
| Field | Value |
|---|---|
| Company | Palmpaylimited |
| Title | Junior Anti-Fraud Analyst |
| Normalized title | - |
| Department / team | - |
| Location | Ikeja, Lagos State |
| Work model | - |
| Employment type | Contract |
| Salary | - |
| Status | active |
| ATS provider | JazzHR / ApplyToJob |
| Posted / first seen | 2026-05-29 / 2026-05-30 |
| Changed / last seen | 2026-05-30 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Palmpaylimited. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through JazzHR / ApplyToJob. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Palmpaylimited |
| Source | 9f69f2d0-4257-405b-b16d-8598ab1ef584 |
| ATS provider | JazzHR / ApplyToJob |
Description
Junior Anti-Fraud Analyst
Ikeja, Lagos
Contract
Salary: 80k Basic, 20k Kpi
As a junior anti-fraud analyst, when a customer takes out a loan and immediately stops paying, dig into the accounts and find out why. Look at data from our risk control, sales, and loan application review teams to figure out if the customer genuinely can't pay or if they tricked our systems to get approved. Learn to spot dishonest behavior early so we can protect the business.
Key Responsibilities Investigate risk cases: Look closely at accounts that go into high default rate after getting a loan to see if the information they provided was real or fake. Audit approved applications: Review cases that were recently passed and approved by the loan application review team to spot any red flags or missed warning signs. Review team data: Review cases within 72 hours into loan and confirm device ownership, ascertain if the sales team are selling to the right customers and detect early repayment risk. Flag fraud behavior: Keep an eye out for tricks (Falsified images, inflated incomes or colluding with sales agents) and flag those accounts immediately to the field collection team for possible retrieval. Report findings: Keep clean and simple notes on investigations so the team knows exactly why an account was flagged. Loss review cases: Daily review loss and stolen cases with relevant reports. What we’re looking for Basic data skills: Comfortable working with spreadsheets (like Excel or Google Sheets) to sort through customer information. Good communication: Explain findings clearly without using overly complicated technical words. Experience: 1–2 years of experience in risk, finance, customer service or data entry with a strong interest in fraud prevention.
Full job record
| Job ID | 35b96e588cc54b2f53c8b4ed15450a777cd3b1be |
| Org ID | c362075a-deac-4ee2-a5d0-ff272479446c |
| Source ID | 9f69f2d0-4257-405b-b16d-8598ab1ef584 |
| Board ID | 9f69f2d0-4257-405b-b16d-8598ab1ef584 |
| Provider | jazzhr |
| Provider Job Key | Vq3lrO8hnB |
| Title | Junior Anti-Fraud Analyst |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Ikeja, Lagos State |
| Department | — |
| Team | — |
| Employment Type | contract |
| Workplace Type | — |
| Remote Policy | — |
| Country | — |
| Region | — |
| City | — |
| Salary Raw | — |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://palmpaylimited.applytojob.com/apply/Vq3lrO8hnB/Junior-AntiFraud-Analyst |
| Apply URL | https://palmpaylimited.applytojob.com/apply/Vq3lrO8hnB/Junior-AntiFraud-Analyst |
| First Seen At | 2026-05-30 06:01:32Z |
| Last Seen At | 2026-06-06 10:43:44Z |
| Last Checked At | 2026-06-06 10:43:44Z |
| Last Changed At | 2026-05-30 06:01:32Z |
| Inactive At | — |
| Source Posted At | 2026-05-29 00:00:00Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=jazzhr/board=palmpaylimited/date=2026-06-06/2026-06-06T10-43-20-094Z-317572de64fa7ebc9759fae6b6efa86d2d52305f560e19fae9ea51bb5017b665.json |
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"description_html": "<span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Junior Anti-Fraud Analyst<br>Ikeja, Lagos<br>Contract<br>Salary: 80k Basic, 20k Kpi</b></span></span></span><br><br><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\">As a junior anti-fraud analyst, when a customer takes out a loan and immediately stops paying, dig into the accounts and find out why. Look at data from our risk control, sales, and loan application review teams to figure out if the customer genuinely can't pay or if they tricked our systems to get approved. Learn to spot dishonest behavior early so we can protect the business.</span></span></span><br><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Key Responsibilities</b></span></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Investigate risk cases:</b> Look closely at accounts that go into high default rate after getting a loan to see if the information they provided was real or fake.</span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Audit approved applications:</b> Review cases that were recently passed and approved by the loan application review team to spot any red flags or missed warning signs. </span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Review team data: </b>Review cases within 72 hours into loan and confirm device ownership, ascertain if the sales team are selling to the right customers and detect early repayment risk. </span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Flag fraud behavior:</b> Keep an eye out for tricks (Falsified images, inflated incomes or colluding with sales agents) and flag those accounts immediately to the field collection team for possible retrieval. </span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Report findings:</b> Keep clean and simple notes on investigations so the team knows exactly why an account was flagged.</span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Loss review cases:</b> Daily review loss and stolen cases with relevant reports. </span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>What we’re looking for</b></span></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Basic data skills:</b> Comfortable working with spreadsheets (like Excel or Google Sheets) to sort through customer information.</span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Good communication:</b> Explain findings clearly without using overly complicated technical words. </span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Experience:</b> 1–2 years of experience in risk, finance, customer service or data entry with a strong interest in fraud prevention.</span></span></span></span></li></ul><br><br> ",
"description_text": "Junior Anti-Fraud Analyst\nIkeja, Lagos\nContract\nSalary: 80k Basic, 20k Kpi\n As a junior anti-fraud analyst, when a customer takes out a loan and immediately stops paying, dig into the accounts and find out why. Look at data from our risk control, sales, and loan application review teams to figure out if the customer genuinely can't pay or if they tricked our systems to get approved. Learn to spot dishonest behavior early so we can protect the business.\n Key Responsibilities Investigate risk cases: Look closely at accounts that go into high default rate after getting a loan to see if the information they provided was real or fake.\n Audit approved applications: Review cases that were recently passed and approved by the loan application review team to spot any red flags or missed warning signs.\n Review team data: Review cases within 72 hours into loan and confirm device ownership, ascertain if the sales team are selling to the right customers and detect early repayment risk.\n Flag fraud behavior: Keep an eye out for tricks (Falsified images, inflated incomes or colluding with sales agents) and flag those accounts immediately to the field collection team for possible retrieval.\n Report findings: Keep clean and simple notes on investigations so the team knows exactly why an account was flagged.\n Loss review cases: Daily review loss and stolen cases with relevant reports.\n What we’re looking for Basic data skills: Comfortable working with spreadsheets (like Excel or Google Sheets) to sort through customer information.\n Good communication: Explain findings clearly without using overly complicated technical words.\n Experience: 1–2 years of experience in risk, finance, customer service or data entry with a strong interest in fraud prevention.",
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"description": "<span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Junior Anti-Fraud Analyst<br>Ikeja, Lagos<br>Contract<br>Salary: 80k Basic, 20k Kpi</b></span></span></span><br><br><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\">As a junior anti-fraud analyst, when a customer takes out a loan and immediately stops paying, dig into the accounts and find out why. Look at data from our risk control, sales, and loan application review teams to figure out if the customer genuinely can't pay or if they tricked our systems to get approved. Learn to spot dishonest behavior early so we can protect the business.</span></span></span><br><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Key Responsibilities</b></span></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Investigate risk cases:</b> Look closely at accounts that go into high default rate after getting a loan to see if the information they provided was real or fake.</span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Audit approved applications:</b> Review cases that were recently passed and approved by the loan application review team to spot any red flags or missed warning signs. </span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Review team data: </b>Review cases within 72 hours into loan and confirm device ownership, ascertain if the sales team are selling to the right customers and detect early repayment risk. </span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Flag fraud behavior:</b> Keep an eye out for tricks (Falsified images, inflated incomes or colluding with sales agents) and flag those accounts immediately to the field collection team for possible retrieval. </span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Report findings:</b> Keep clean and simple notes on investigations so the team knows exactly why an account was flagged.</span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Loss review cases:</b> Daily review loss and stolen cases with relevant reports. </span></span></span></span></li></ul><span style=\"font-size:12pt;\"><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>What we’re looking for</b></span></span></span><ul style=\"margin-bottom:11px;\"><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Basic data skills:</b> Comfortable working with spreadsheets (like Excel or Google Sheets) to sort through customer information.</span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Good communication:</b> Explain findings clearly without using overly complicated technical words. </span></span></span></span></li><li style=\"margin-bottom:11px;\"><span style=\"font-size:12pt;\"><span><span style=\"line-height:115%;\"><span style=\"font-family:Calibri, sans-serif;\"><b>Experience:</b> 1–2 years of experience in risk, finance, customer service or data entry with a strong interest in fraud prevention.</span></span></span></span></li></ul><br><br> ",
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