Description
As a Data Engineer on Visa's Global Business-to-Business Identity & Access Management (B2B IAM) team, you will turn authentication, authorization, and directory telemetry into actionable insight.
You will help build baseline models and analyses for anomaly detection, user/entity behavior analytics (UEBA), and risk-based access that strengthen MFA journeys and session controls while improving user experience.
In partnership with IAM Engineering and Release Engineering, you will take work from notebooks to production on ForgeRock-centric platforms using CI/CD, containerization, and monitoring.
You will also explore agentic AI approaches,safe, human-in-the-loop automations that can propose experiments, generate features, triage anomalies, and suggest policy or journey adjustments.
Your contributions will support service reliability and SLA/availability targets and will follow privacy-by-design practices aligned to GDPR, PCI DSS, and other audits.
Responsibilities:
- Ingest and prepare IAM telemetry for analysis and modeling.
- Build and evaluate baseline models for anomaly detection, UEBA, and risk scoring.
- Run focused EDA and A/B tests to tune adaptive journeys and MFA step-ups.
- Engineer features and keep work reproducible.
- Package analyses/models for production and contribute to CI/CD and safe rollouts.
- Set up basic monitoring for data/model quality, drift, and errors.
- Partner with IAM engineers to turn insights into policy/rule changes.
- Explore agentic AI to propose experiments, generate features, and triage anomalies.
- Apply privacy- and security-by-design principles.
- Document findings clearly and communicate results to technical and non-technical stakeholders.
Requirements:
- 2 or more years of work experience with a Bachelor's Degree or an Advanced Degree.
Nice to Have:
- 3 or more years of work experience with a Bachelor's Degree or more than 2 years of work experience with an Advanced Degree.
- Hands-on experience with Python for data science and SQL for data preparation and analysis.
- Exposure to Identity and access management concepts, MLOps and release engineering basics, and monitoring for data/model quality.