FinCrime ML Engineer - Build Scalable Risk Models

3761 Barclays - BX - UK; Glasgow; On-site; GBP 90,000 - 130,000; Full time

Job summary

Barclays is seeking an Integrated Financial Crime Machine Learning Engineer in Glasgow. You will design, build and deploy ML models to detect financial crime at scale, collaborating with technology to ensure robust data pipelines and deployment.

The role requires strong ML, Python, and software engineering practices, with exposure to Databricks, Spark, and AWS considered highly valuable. The position emphasizes risk management, governance, and delivering analytics that inform decision-making

Qualifications

• Strong experience in machine learning and advanced analytics.
• Advanced Python skills for data processing and model development.
• Proven experience working with Databricks.
• Solid software engineering practices, including version control, testing and deployment.

Responsibilities

• Design, build and deploy ML models for financial crime detection.
• Collaborate with tech to operationalise analytics and data requirements.
• Provide ongoing support and governance for analytics solutions.

Skills

Machine learning

Python

Software engineering

Tools

Databricks

Spark

PySpark

AWS

Job description

Barclays is seeking an Integrated Financial Crime Machine Learning Engineer in Glasgow. You will design, build and deploy ML models to detect financial crime at scale, collaborating with technology to ensure robust data pipelines and deployment.

The role requires strong ML, Python, and software engineering practices, with exposure to Databricks, Spark, and AWS considered highly valuable. The position emphasizes risk management, governance, and delivering analytics that inform decision-making