Integrated Financial Crime - Data Scientist

Barclays

London, United Kingdom
Strong experience in machine learning
Advanced python skills for data processing
Proven experience working with databricks
You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank

Job Summary

  • You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank.
  • The role contributes across the full model lifecycle from design and development through to deployment and optimisation.
  • You will work within the Integrated Financial Crime portfolio to strengthen controls and improve effectiveness across all lines of defence.

Matching Summary

You will design, build and deploy machine learning models that support scalable, high quality financial crime detection across the bank.

Skills & Requirements

Must-have

  • Strong experience in machine learning
  • Advanced Python skills for data processing
  • Proven experience working with Databricks
  • Solid software engineering practices

Nice-to-have

  • Background in financial services or regulated environments
  • Exposure to fraud AML or sanctions domains
  • Experience with Spark or PySpark
  • Familiarity with AWS cloud services

Key Requirements

  • In-depth technical knowledge in assigned area
  • Leadership responsibilities or individual contributor expertise
  • Understanding of Model Risk Policy

Work Rights

Not specified

Tailored Resume

Cover Letter