Financial Crime Data Analyst - AVP

About the role

Barclays is looking for an Assistant Vice President Financial Crime Data Analyst to join its transaction monitoring team in Glasgow. The role designs, develops, implements and maintains statistical, mathematical and machine learning models that support decision-making in financial crime, and advises on policy and operational effectiveness.

Key responsibilities

• Collect data from internal databases, external datasets and real-time feeds, and clean and preprocess it to ensure data quality.
• Design data management strategies for model maintenance and future development.
• Build and run statistical and machine learning models for credit risk, fraud detection, customer segmentation and marketing optimisation.
• Monitor model performance in real time and flag issues or biases.
• Lead training, mentoring and knowledge sharing to build ML capability across the organisation.
• Evaluate and pilot emerging technologies and frameworks.
• Advise on policy, lead a team, set objectives, coach staff and manage risk and controls.

Required profile

• Experience with hands-on Python and SQL.
• Strong analytical skills, rule development and knowledge of ML/MLSE.
• Knowledge of transaction monitoring, money laundering and financial crime analytics.
• Background in mathematics or statistics (probability, machine learning, AI) is valued.
• Ability to communicate complex information and influence stakeholders.

Required skills

• Python and SQL
• Machine learning and statistical modelling
• Transaction monitoring and money laundering analytics
• Risk and controls, business acumen and strategic thinking