Senior Data Engineer
Core
Build baseline models and analyses for anomaly detection, UEBA, and risk-based access to strengthen MFA journeys and session controls on Visa's B2B IAM platform.
Role type
Senior IC data engineer (anomaly detection & IAM analytics)
Builds
Production ML models, dashboards, and agentic AI automations for identity and access management
Domain
Financial services / Identity and Access Management (IAM)
Deliverable
production ML models
Required skills
Python (pandas, NumPy, scikit-learn), SQL, Exploratory Data Analysis (EDA), basic supervised learning, anomaly detection, model evaluation metrics, IAM telemetry preparation, feature engineering, Docker, CI/CD concepts, basic Linux shell scripting
Preferred skills
Splunk/Elastic/Kibana/Grafana, Spark/PySpark, Kafka/streaming concepts, A/B testing, MLOps (model registry/experiment tracking), agentic AI (human-in-the-loop), SAML/OIDC/OAuth/JWT standards, ForgeRock AM/DS telemetry
Technologies
Python, SQL, Docker, Git, GitHub Actions/GitLab CI/Jenkins, Splunk, Elastic/Kibana, Grafana, Spark, Kafka, ForgeRock
Responsibilities
Ingest and prepare IAM telemetry for analysis and modeling; Build and evaluate baseline models for anomaly detection and risk scoring; Run EDA and A/B tests to tune adaptive journeys; Engineer features and maintain reproducible data pipelines; Package analyses/models for production and contribute to CI/CD; Set up monitoring for data/model quality and create dashboards/alerts; Partner with IAM engineers to validate impact on SLO/SLA; Explore agentic AI approaches within safety guardrails.
Seniority
Senior, hands-on IC