Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases
Job Summary
Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases.
Manage and develop a team of data scientists, setting standards for technical excellence, delivery discipline, and stakeholder engagement.
Engage senior stakeholders to prioritise initiatives, resolve competing demands, and ensure regulatory alignment.
Matching Summary
Lead the UK Financial Crime ML portfolio, setting technical direction and ensuring high-quality, scalable model delivery across fraud and transaction monitoring use cases.
Skills & Requirements
Must-have
Machine learning model deployment
Python programming expertise
Distributed computing frameworks
Cloud-based ML platforms
Financial Crime risk domain experience
Team management and mentoring
Regulatory compliance in analytics
Nice-to-have
Stakeholder management in regulated environments
Cross-functional collaboration
Performance culture leadership
Advanced analytical problem solving
Strategic project management
Thought leadership in data science
Key Requirements
Extensive machine learning production experience
Strong hands-on Python capability
Experience with Spark or similar frameworks
Exposure to AWS, Azure, GCP or Databricks
Proven data science team management
Experience in Financial Crime or related risk domains