Director, Risk Product & Operations (Hybrid)

Trustly

New York (NY)

Hybrid

USD 250.000 - 340.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Flexible PTO
Medical/dental/vision
Internet stipend
401k match
Parental leave

Zusammenfassung

Trustly seeks a senior product leader to own the risk decisioning and collections platforms, driving real-time scoring, policy rules, and regulatory alignment. The role oversees risk operations tooling, vendor integrations, and cross-functional collaboration with Risk Engineering.

You will manage the Data & Risk operating rhythm, plan annual/quarterly priorities, and report to leadership while shaping AI-driven workflows and automation across the risk stack.

Qualifikationen

  • 10+ years in product management, including at least 5 years leading risk, fraud or collections products in payments or financial services.
  • Experience building real-time decisioning platforms and rule authoring with simulation and rollback.
  • Experience shipping ML-driven products with data science teams.

Aufgaben

  • Own the product strategy and roadmap for the risk decisioning and collections platforms, tied to approval rate, loss and recovery rate.
  • Lead real-time decisioning engine features, latency, availability, and self-serve rule authoring with versioning.
  • Oversee risk operations tooling, alerts, queues, and vendor integrations within collections regulations.
  • Partner with Risk Engineering on architecture, release planning, and cross-platform prioritization.
  • Translate regulatory obligations into product requirements with Compliance and Legal.

Kenntnisse

Product management
Risk products leadership
Data science collaboration
Regulatory & compliance
Planning & cadence
Cross-functional teamwork

Ausbildung

Bachelor's degree or equivalent
MBA

Jobbeschreibung

Trustly seeks a senior product leader to own the risk decisioning and collections platforms, driving real-time scoring, policy rules, and regulatory alignment. The role oversees risk operations tooling, vendor integrations, and cross-functional collaboration with Risk Engineering.

You will manage the Data & Risk operating rhythm, plan annual/quarterly priorities, and report to leadership while shaping AI-driven workflows and automation across the risk stack.

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