Data Analyst - Financial Crime team
Core
Assess, validate, implement, and optimize systems for detecting financial crime by analyzing customer and transaction data.
Role type
Data Analyst (Financial Crime)
Builds
Client monitoring systems and data pipelines
Domain
Financial services / Anti-Money Laundering (AML)
Deliverable
production ML models | dashboards & analysis
Required skills
Python, SQL, data analysis, statistics, data visualization
Preferred skills
Distributed processing tools (Vaex, Dask, Spark), Anti-Financial Crime domain knowledge
Responsibilities
Assessing and optimizing financial crime detection systems, analyzing customer and transaction data, transforming data to understand business meaning, assessing data quality, suggesting monitoring system improvements, creating data pipelines and automated controls, developing visualizations
Seniority
Junior to Mid-level (1+ year experience required)
