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iFood

Analista de Prevenção a Fraudes SR — Motores Antifraude

iFood · Brasil

Posted 28 days ago · Previously reposted

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

Is this posting real?

This role has been open
28 days
iFood's roles stay open a median of 27 days
Reposted
Yes
taken down and listed again at least once
Salary listed
No
0% of iFood's roles list one
Ghost-job risk at iFood
moderate
26 stale, 8 reposted of 101 open
Hiring momentum
219 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 iFood's own greenhouse board since 2026-08-03. Full hiring picture for iFood.

About this role

The role involves analyzing and operating fraud prevention rules in production, investigating decision logs, and evaluating the impact of various actions related to fraud management. The analyst will also create and monitor rules, conduct simulations, and integrate new signals while collaborating with engineering and data science teams. This position requires a strong technical background and the ability to translate fraud issues into operational logic.

Our read on this posting2.8out of 5
benefits
1/5
freshness
4/5
career value
4/5
role clarity
5/5
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 iFood as an employer.

What you need

  • Advanced SQL for analyzing logs, decisions, rules, impacts, and metrics
  • Ability to interpret execution logs of rules
  • Understanding of Feature Store— features, aggregations, windows, and data sources used by rules
  • Experience with list management— blocklists, allowlists, step-up, and communication between engines
  • Familiarity with GitLab for reading and versioning rules, YAMLs, contracts, and technical documentation
  • Investigative skills to cross-reference transactional and behavioral data and translate fraud problems into executable logic

Nice to have

  • Experience with relationship graphs (Neo4j, Neptune) for investigating multi-account networks, devices, documents, and entities
  • Knowledge of supervised models and clustering for fraud detection
  • Experience with external tools and signals like Incognia, Serasa, ClearSale, and scoring services
  • Previous experience with fraud prevention engines in production
  • Familiarity with developing automations using AI to reduce manual work.

Worth weighing

  • The role requires a strong technical background and may involve high responsibility and ambiguity.
  • No specific salary or benefits mentioned in the posting.

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

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

More roles at iFood

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