Senior Data Analyst, Risk Analytics
Core
Senior Data Analyst building fraud prevention models, statistical experiments, and AI-driven workflows to reduce reliance on external black boxes and static rules.
Role type
Senior IC data analyst (fraud/risk)
Builds
Python-based analyses, models, data pipelines, and AI-assisted workflows for fraud decisioning and vendor evaluation
Domain
Fintech / Fraud Prevention / Risk Analytics
Deliverable
production ML models
Required skills
Python (pandas, scikit-learn, statsmodels), SQL, statistical experiment design, classification model building and validation, anomaly investigation, dashboard development
Preferred skills
Experience with fraud vendors (Forter, Riskified, Sardine), Looker or similar BI tools, LLMs and agentic workflows
Technologies
Python, pandas, scikit-learn, statsmodels, SQL, Looker, Hex, LLMs
Responsibilities
Build and maintain Python-based analyses, models, and data pipelines; Design and run statistical experiments including A/B tests; Develop and iterate on internal fraud risk models; Actively use AI tools to automate analysis; Contribute to vendor performance analysis; Build and maintain dashboards and reports; Monitor fraud metrics and investigate anomalies
Seniority
Senior, hands-on IC
