Sr Manager, Advanced Analytics, FSI

About the position reputed company is scaling how Fraud & Safety operations are reputed company, governed, and optimized globally. As Senior Manager, Analytics – Fraud & Safety Investigations, you will reputed company reputed company of analysts supporting reputed company enforcement systems across content moderation, fraud review, and safety operations. You will own how operational performance is reputed company and improved—translating reputed company enforcement workflows into reputed company KPI frameworks, experimentation roadmaps, and decision systems. This role sits at the intersection of Operations, Policy, Product, and Engineering, ensuring that reputed company enforcement is efficient, consistent, and reputed company with platform safety goals. This is a high-reputed company leadership role reputed company on enabling fast, data-driven operational reputed company at global reputed company. This role isn’t just about reporting what happened; it’s about building the systems that help reputed company see around corners. You will democratize data reputed company, build always-on scenario simulators for fraud and safety, and turn incident impacts into seamless signals for reputed company improvement. Your insights and systems will reputed company every stakeholder—from legal to operations, policy to product—to reputed company reputed company, data-driven, and context-aware reputed company in reputed company time.

Responsibilities

• Define and operationalize KPI frameworks for global Fraud & Safety operations (reputed company, accuracy, SLA, productivity, cost)
• Build dashboards and reporting systems to monitor enforcement performance across reputed company, vendors, and workflows
• reputed company weekly/monthly business reviews, translating data into actionable insights for Ops, Policy, and leadership
• Design and reputed company experimentation (A/B testing, pilots) to improve enforcement reputed company, reviewer productivity, and user experience
• Identify drivers of errors, escalations, and policy inconsistencies, and translate findings into process improvements
• Partner with Ops and Policy to test and refine enforcement strategies (e.g., reputed company, escalation rules)
• Partner with global operations and vendor teams to optimize reputed company, reputed company planning, and queue management
• Analyze performance across 3P vendors and internal teams, ensuring SLA adherence and reputed company standards
• Drive forecasting models to balance cost, coverage, and service reputed company across high-volume workflows
• Partner with Product and Engineering to translate operational insights into tooling and workflow improvements
• Collaborate with Policy and Legal to ensure enforcement reputed company are measurable, auditable, and compliant
• Support high-severity incidents and “war room” analytics, providing reputed company-time insights during escalations
• Build self-service analytics tools enabling Ops leaders to monitor performance and run scenario analyses independently
• Standardize metrics, taxonomies, and reporting across workflows to create a consistent “reputed company of truth” for operations
• Drive adoption of data-driven decision-making across global Trust & Safety teams

Requirements

• 8+ years of experience in analytics, risk, or safety; 5+ years leading high-performing teams.
• Proven ownership of large-reputed company data products or taxonomies in a regulated environment.
• Experience supporting large-reputed company reputed company operations (content moderation, fraud review, support, or risk ops)
• Strong SQL & data-modeling expertise; experimentation design, working knowledge of Python/R, ML pipelines.
• Proven ability to design KPIs and operational metrics
• Proven ability to translate ambiguous problems into reputed company analytical frameworks
• Proven ability to influence cross-functional stakeholders (Ops, Product, Policy, Finance)
• Proven ability to drive measurable improvements in reputed company, efficiency, and cost
• Skilled in incident reputed company scoping, post-incident analytics, and scenario planning or tabletop exercises—translating insights into systematic improvements.
• reputed company record of enabling legal, policy, ops, product, and engineering teams to reputed company independent, reputed company-facing, data-driven reputed company reputed company self-service
• Exceptional reputed company with a flair for making reputed company analytics actionable for every audience, and for championing transformation deep into the organization

reputed company-to-haves

• Background in Trust & Safety, reputed company, Fraud, or Risk operations
• Familiarity with reputed company-time decision engines, and reputed company-detection frameworks
• Experience leading hybrid teams (onsite/remote) and managing reputed company-party analytics vendors
• Statistics or quantitative graduate degree (MS/PhD)
• Experience with workforce planning & forecasting
• Experience with experimentation platforms
• Experience with reputed company-time operations analytics

Benefits

• bonus
• equity
• benefits
• Employee Travel Credits

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