Junior Data Scientist - Fraud & Aml Monitoring

M&G

Edinburgh, Scotland, United Kingdom
Not specified; benefits: 18% pension (13% employer...
Azure databricks proficiency
Python for data analysis
Sql for data manipulation
This role offers an outstanding opportunity to join the Fraud Monitoring and Analysis team within M&G's Operational Planning Centre of Excellence

Job Summary

  • This role offers an outstanding opportunity to join the Fraud Monitoring and Analysis team within M&G's Operational Planning Centre of Excellence.
  • The successful candidate will design and build scalable solutions to prevent financial crime by identifying risks early on using advanced data techniques.
  • M&G offers a valuable pension scheme with 18% contributions, 38 days of annual leave, and comprehensive health protection cover.

Matching Summary

This role offers an outstanding opportunity to join the Fraud Monitoring and Analysis team within M&G's Operational Planning Centre of Excellence.

Salary

Not specified; Benefits: 18% pension (13% employer); Leave: 38 days annual leave

Skills & Requirements

Must-have

  • Azure Databricks proficiency
  • Python for data analysis
  • SQL for data manipulation
  • Power BI reporting skills
  • Fraud and AML monitoring experience
  • ETL and data modeling capabilities

Nice-to-have

  • Strong communication with stakeholders
  • Collaborative team approach
  • Interest in financial crime prevention
  • Cloud-based architecture knowledge
  • Mentoring and upskilling others

Key Requirements

  • Graduate or career starter status
  • Proficiency in Azure ecosystem tools
  • Experience with Spark clusters
  • Ability to work with large datasets

Work Rights

Not specified

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