Senior AVP, Financial Crime Data & ML Analytics

Barclays; Glasgow; Hybrid; GBP 60,000 - 95,000; Full time

Job summary

Barclays in Glasgow is seeking a Financial Crime Data Analyst to join our transaction monitoring team. You will apply Python and SQL to build data-driven models and support decision making in financial crime analytics.

You will design and deploy statistical and machine learning solutions for credit risk, fraud detection, and customer segmentation, while ensuring data quality and responsible AI practices. Collaboration across disciplines is essential.

Qualifications

• Experience with Python and SQL in data analysis.
• Strong analytical skills and ML understanding.
• SME knowledge in transaction monitoring and ML analytics.

Responsibilities

• Acquire and integrate data from multiple sources for model development.
• Clean and preprocess data to ensure quality for analysis.
• Design data management strategies for model maintenance.
• Develop ML models for credit risk, fraud detection, and segmentation.
• Monitor model performance and address biases.
• Lead training and knowledge-sharing to uplift ML capability.
• Evaluate emerging AI technologies and tools.

Skills

Python

SQL

Machine Learning

Data Analysis

Fraud Detection

Tools

Pandas

Job description

Barclays in Glasgow is seeking a Financial Crime Data Analyst to join our transaction monitoring team. You will apply Python and SQL to build data-driven models and support decision making in financial crime analytics.

You will design and deploy statistical and machine learning solutions for credit risk, fraud detection, and customer segmentation, while ensuring data quality and responsible AI practices. Collaboration across disciplines is essential.