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5 дней назад

Abuse Investigator

Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Kazakhstan
Релокация
Kazakhstan
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Abuse Investigator (Fraud Analytics/SQL/Python): Investigating account-abuse rings and quantifying losses from payment, usage, and identity data with an accent on evidence quality, false-positive control, and unit economics. Focus on building linkage evidence, validating detection systems, maintaining recurring abuse-loss reporting, and identifying emerging abuse patterns. The role is based onsite in Almaty, Kazakhstan.

Location: On-site in Almaty, Kazakhstan. Relocation support includes a flight and temporary housing.

Salary: Competitive salary in USD.

Company

hirify.global builds generative AI video creation products and next-generation creative tools for millions of users and major brands.

What you will do

  • Investigate account-abuse rings from flagged accounts or cost anomalies through cluster identification, linkage analysis, economics, and recommended enforcement actions.
  • Connect payment instruments, IP and ASN patterns, email families, registration bursts, behavioral signals, and automation fingerprints while separating evidence from coincidence.
  • Prepare defensible, account-level evidence packages for auditors, payment networks, customers, and Legal.
  • Own the recurring abuse-loss number and distinguish COGS burned, revenue at risk, revenue reversed, and cash refunded.
  • Monitor detection systems, investigate broken data pipelines or vendor signals, and identify emerging abuse patterns.
  • Partner with the antifraud data scientist, Payments, Support, and Finance using raw payment, usage, and identity data.

Requirements

  • 2+ years of investigative or risk analytics experience in fraud, abuse, trust and safety, AML, chargebacks, gaming, or marketplace integrity.
  • Strong SQL skills, including self-joins, window functions, cohort replay, and joining payments, usage, and identity data across messy keys.
  • Working-level Python for analysis, including pandas, notebooks, and basic graph work.
  • Investigative judgment, evidentiary discipline, and the ability to distinguish provable abuse from legitimate negative-margin usage.
  • Understanding of unit economics, compute costs, gross margin, revenue reversals, and false positives.
  • Clear written and spoken English at B2+ level; willingness to work onsite in Almaty, Kazakhstan.

Nice to have

  • Experience in fintech, payments, marketplaces, gaming, crypto, betting, trust and safety, chargebacks, disputes, AML, product analytics, or BI.

Culture & Benefits

  • High autonomy within a flat structure.
  • Close collaboration across antifraud, Payments, Support, and Finance.
  • Competitive salary in USD.
  • Participation in the company stock option program.
  • Relocation support with flight and temporary housing.
  • Fast career growth in a rapidly scaling generative AI company.

Hiring process

  • 30-minute first interview.
  • 60-minute business case, followed by a take-home assignment using real-shaped data, expected to take approximately 10–12 hours over 7 days.
  • 60-minute team interview and a paid one-month onsite trial.

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