Fraud Analytics Manager
Core
Own the analytics function supporting fraud, credit risk, and operations by building automation, tooling, and reporting infrastructure.
Role type
hands-on individual contributor manager (analytics)
Builds
automation, tooling, and reporting infrastructure for fraud and risk teams
Domain
fintech / payments / fraud analytics
Deliverable
production ML models
Required skills
SQL, Python, BI tooling (Sigma/Tableau), Git, data analysis, stakeholder partnership
Preferred skills
LLMs and prompt engineering, building analytics functions from scratch
Technologies
SQL, Python, Sigma, Tableau, Git, LLMs
Responsibilities
Own end-to-end automation and tooling for manual analytics tasks; Build and maintain a consolidated backtesting framework for fraud rules; Consolidate fragmented reporting pipelines; Develop and maintain a consolidated risk label framework; Deploy LLM and AI tooling to streamline workflows; Establish and track KPIs (hours saved per week) with dashboards; Partner with stakeholders to identify automation opportunities.
Seniority
Mid-level (3–6 years experience), hands-on IC with managerial scope
