5 дней назад
Abuse Investigator
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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