Data Scientist
Core
Data Scientist supporting client engagements to detect financial crime by analyzing customer and transaction data, providing methodical guidance, and transforming data into business insights.
Role type
Client-facing Data Scientist (Financial Crime)
Builds
Cloud-based applications for financial crime detection and monitoring systems
Domain
Financial Services / Anti-Money Laundering (AML)
Deliverable
client delivery
Required skills
Machine learning (classification, clustering), mathematical optimization, Python, SQL, Git
Preferred skills
Distributed processing (Dask, Spark), Anti-Financial Crime domain knowledge, Neural networks, Graph algorithms, Natural language processing
Responsibilities
Analyzing customer and transaction data, Providing methodical guidance to clients, Transforming data and understanding its business meaning, Creating machine learning pipelines, Developing new forms of visualisations, Programming in Python including writing tests
Seniority
Associate / Junior
