Security Analyst
Core
Build and optimize fraud detection rules, risk models, and KPI tracking to protect customers and drive product strategy for a SaaS identity and anti-fraud platform.
Role type
Senior Security Data Analyst (Fraud Detection & Analytics)
Builds
Detection rules, risk models, dashboards, and AI-driven analytical workflows
Domain
Fintech / Cybersecurity / Fraud Prevention
Deliverable
production ML models | dashboards & analysis
Required skills
Fraud detection logic, Exploratory Data Analysis (EDA), BigQuery, Advanced SQL, Python (Pandas/NumPy), Dashboarding (Grafana)
Preferred skills
AI Agents configuration, Cyber/fraud threat analysis, Modern SaaS/B2B Product Analytics
Responsibilities
Design and optimize detection rules and risk models to identify fraud vectors; Perform EDA and track core product/risk KPIs; Act as an analytical escalation point for high-stakes client investigations; Translate data trends into executive-ready dashboards; Configure and deploy AI Agents within analytical workflows; Partner with Product and Analytics teams on feature rollouts.
Seniority
Mid-Senior, hands-on IC