Fraud Analytics & Strategy Lead

Rippling (Netherlands); New York (NY); On-site; USD 123,000 - 205,000; Full time

Benefits offered by this job

Equity

Health benefits

Competitive salary

Job summary

Rippling is hiring a Fraud Strategy & Analytics Manager to safeguard financial products by developing detection and risk mitigation strategies. You will analyze transaction data, identify patterns, and work with data science, security, and product teams to implement scalable fraud solutions.

You will lead investigations, monitor performance metrics, and drive continuous improvement in fraud controls, balancing security with customer experience and growth.

Qualifications

• 5+ years of fraud prevention and detection, preferably in fintech with payments, lending, and SaaS
• Bachelor's or higher in Math/Statistics/Operations Research; Master’s preferred
• Strong SQL & Python skills and ability to write complex queries to analyze large datasets
• Strong data analysis capabilities for data-driven fraud risk decisions
• Deep understanding of payments risks and funds flows (ACH, bank transfers, wallet, corporate card fraud)
• Experience with fraud investigation tools and third‑party risk vendors; solid communication skills

Responsibilities

• Develop and own fraud prevention strategies across Rippling’s financial products (Payroll, Bill Pay, Corporate Card)
• Design, implement, and optimize fraud monitoring and decisioning using large-scale data and risk indicators
• Build dashboards, define KPIs, and monitor fraud losses and detection rates
• Lead complex investigations and root-cause analyses to uncover patterns and gaps
• Mitigate emerging fraud risks by analyzing trends across products and customer segments
• Collaborate with Data Science and Engineering to develop detection models and risk scoring
• Work with Product, Security, Compliance, Fraud Operations, and Customer Support to embed risk controls
• Monitor high‑risk transactions and coordinate timely escalations to minimize losses
• Drive continuous improvement through post-incident reviews and rule updates
• Present fraud insights and recommendations to leadership to influence priorities

Skills

SQL

Python

Fraud analytics

Data analysis

Communication

Education

Bachelor's degree in Math/Statistics

Master's degree preferred

Tools

Fraud detection tools

Job description

Rippling is hiring a Fraud Strategy & Analytics Manager to safeguard financial products by developing detection and risk mitigation strategies. You will analyze transaction data, identify patterns, and work with data science, security, and product teams to implement scalable fraud solutions.

You will lead investigations, monitor performance metrics, and drive continuous improvement in fraud controls, balancing security with customer experience and growth.