Senior Data Analyst, Risk Analytics
Core
Build fraud prevention models, run statistical experiments, and develop AI-driven workflows to reduce reliance on external black boxes and static rules.
Role type
Senior IC data analyst (fraud risk & AI)
Builds
Production fraud risk models, data pipelines, and AI-assisted analytical workflows
Domain
Fintech / Fraud Prevention
Deliverable
production ML models
Required skills
Python (pandas, scikit-learn), SQL, statistical experiment design, classification model training/validation, AI tool usage (LLMs, code generation)
Preferred skills
Fraud vendor familiarity (Forter, Riskified, Sardine), BI tools (Looker)
Technologies
Python, pandas, scikit-learn, statsmodels, SQL, Looker, Hex, LLMs
Responsibilities
Build and maintain Python-based analyses and data pipelines for fraud decisioning; Design and run statistical experiments including A/B tests and holdout experiments; Develop and iterate on internal fraud risk models with calibration and validation; Actively use AI tools to automate analysis and define embedded workflows; Contribute to vendor performance analysis and contract discussions; Build and maintain dashboards and reports in Looker and Hex; Monitor fraud metrics and investigate anomalies
Seniority
Senior, hands-on IC
