Compliance Analytics & Insights
Core
Build and maintain data infrastructure and pipelines to support Automated Financial Crime (AFC) model development, deployment, and validation within a banking environment.
Role type
Senior Data Engineer (Financial Crime Analytics)
Builds
Production-ready data pipelines, model deployment pipelines, and data quality monitoring systems for AFC models.
Domain
Financial Services / Data Engineering / Anti-Money Laundering (AML)
Deliverable
production ML models
Required skills
Python, Apache Spark, Hive, Impala, Oozie, Hadoop, Schema Design, Dimensional Data Modeling, RPA, Root Cause Analysis, ML/AI Model Deployment
Preferred skills
Data lineage mapping tools, Agile methodologies, JIRA
Technologies
Python, Spark, Hive, Impala, Oozie, Hadoop, JIRA
Responsibilities
Create and maintain ETL infrastructure for diverse data sources; Design and evaluate tools for data lineage mapping; Liaise with Data Scientists to define data requirements and support model testing; Create automated model deployment pipelines; Troubleshoot data issues and perform data analysis; Optimize internal data processes for scalability and reliability.
Seniority
Senior, hands-on IC
