Purpose of the role:
As Lead AML AI SME (Google Cloud), you will lead the adoption, optimisation, and governance of a cutting-edge AI-driven Transaction Monitoring solution.
What you'll do:
- Lead the tuning, optimisation, and configuration strategy for Google Cloud AML AI models.
- Define and execute backtesting frameworks to validate model performance against Legacy Transaction Monitoring approaches.
- Establish alert thresholds and monitoring strategies that balance model effectiveness with operational capacity.
- Educate and upskill business stakeholders on AI outputs, model explainability, risk scoring, and governance principles.
- Partner with AML Operations, Compliance, Model Risk, and Engineering teams to align business objectives and technical delivery.
- Drive model governance, validation, documentation, and regulatory readiness activities.
The skills you'll need:
- Hands-on experience training, tuning, and optimising Machine Learning models.
- Strong background in AML, Transaction Monitoring, Financial Crime, or Fraud Analytics.
- Demonstrable experience running backtesting exercises and measuring model performance.
- Strong technical capability with Python, SQL, BigQuery, and cloud-based ML environments.
- Ability to translate complex technical concepts into clear business language and educate stakeholders.
- Proven experience working across business, risk, and technology functions to deliver AI-driven solutions.
Rate:
Not specified
Location:
London
IR35 Status:
Inside
Remote Status:
Hybrid
Industry:
AI & Machine Learning
Seniority Level:
Not Specified