Full-timeTech & engineering· Posted 29 Sept

Senior Data Engineer

VisaFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

Singapore

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Start: Not stated
Work mode: On-site
Experience: Experienced

About the role

You will join Visa's Global Business-to-Business Identity & Access Management team as a Data Engineer, turning authentication, authorization and directory telemetry into useful insight. The role involves building baseline models and analyses for anomaly detection, user and entity behaviour analytics, and risk-based access that strengthen MFA journeys and session controls. It suits someone with a few years of data experience who is comfortable moving work from notebooks into production and collaborating with engineering teams.

What you'll do

Ingest and prepare IAM telemetry such as ForgeRock AM/DS, SAML/OIDC/OAuth events, MFA, sessions and directory logs for analysis and modelling
Build and evaluate baseline models for anomaly detection, UEBA and risk scoring, tracking metrics like precision/recall and ROC-AUC/PR-AUC

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Run focused exploratory data analysis and A/B tests to tune adaptive journeys and MFA step-ups for security and user experience

Engineer features and keep work reproducible through clean notebooks, versioned datasets and lightweight data documentation

Package analyses and models for production using Docker and VMs, and contribute to CI/CD and safe rollouts such as canary releases with Release Engineering

Set up basic monitoring for data and model quality, drift and errors, and create simple dashboards and alerts

Partner with IAM engineers to turn insights into policy or rule changes for risk-based access and session controls, and validate impact on SLO/SLA

Explore agentic AI with human-in-the-loop approaches to propose experiments, generate features and triage anomalies within audit and safety guardrails

Apply privacy- and security-by-design practices such as minimising personal data and pseudonymisation, aligned to GDPR, PCI DSS and other audits

Document findings clearly and communicate results to technical and non-technical stakeholders

Good to know

Visa requires at least 3 days in office, with expectations confirmed by your Hiring Manager

Requirements

2 or more years of work experience with a Bachelor's Degree, or an Advanced Degree
1–3 years applying Python/SQL to real datasets, including internships or research
Solid statistics foundation: hypothesis testing, confidence intervals, power
Hands-on Python for data science (pandas, NumPy, scikit-learn) and SQL
Experience with EDA, basic supervised learning, simple anomaly detection and model evaluation
Experience preparing IAM-style telemetry for analysis and feature engineering

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Senior Data Engineer

About the role

What you'll do

Good to know

Requirements

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