Высокая зарплата, чёткая зона лидерской ответственности и работа над критичными системами регулируемой биржи делают вакансию сильной, хотя сфера рынков прогнозов и крипто несёт дополнительные отраслевые риски.
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Рискованная сфераПонятная рольЗарплата выше рынкаКритичные системы
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Engineering Manager (Fintech): Building identity, fraud, financial crime, market surveillance, and user protection systems for a regulated prediction market with an accent on KYC, AML monitoring, detection pipelines, and compliance tooling. Focus on leading senior engineers, translating regulatory requirements into scalable system designs, and balancing user friction against risk across real-time and batch systems.
Location: New York, United States; on-site
Base salary: $250,000–$400,000 annually, plus equity and benefits. Compensation is listed as $350,000–$500,000.
Company
Polymarket operates a prediction market with a CFTC-regulated exchange and clearinghouse in the United States.
What you will do
Own identity verification and onboarding systems, including KYC vendor integrations, decisioning, and edge cases.
Build fraud and financial crime controls, including payment risk checks, AML transaction monitoring, and sanctions screening.
Develop trade and market surveillance systems to detect manipulation, wash trading, spoofing, and misuse of non-public information.
Ship user protections such as deposit limits, self-exclusion, and responsible trading controls.
Build case management and investigation tooling with audit trails and records for Surveillance, Compliance, and Trust & Safety teams.
Hire and lead senior engineers, set technical direction, and balance user friction against risk.
Requirements
8+ years of software engineering experience and 2+ years of experience managing engineers.
Experience building trust and safety, integrity, fraud, risk, or surveillance systems at meaningful scale.
Comfort working in a regulated environment and translating compliance requirements into concrete system designs.
Strong data-intensive systems skills, including event streams, rules engines, detection pipelines, and real-time versus batch tradeoffs.
Experience collaborating daily with policy, investigations, compliance, and other non-engineering partners.
Nice to have
Experience at an exchange, broker, or crypto platform with trade surveillance or AML obligations.
Familiarity with surveillance and compliance vendors, including trade surveillance platforms, KYC providers, or blockchain analytics.
Applied machine learning or anomaly detection experience for fraud or abuse.
Experience across both centralized and on-chain products.
Culture & Benefits
Competitive salary, equity, and benefits.
Unlimited paid time off.
Health, vision, and dental coverage.
401(k) match.
Full hardware setup, including a new MacBook Pro, large display, and accessories.
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