Lead Quantitative Analytics Specialist - Gen AI, Machine Learning Model Building, Python

About the role

In this role, you will have the opportunity to deliver actionable insights that support informed decision-making and contribute to the Chief Operating Office’s focus on strong risk and controls, execution discipline, operational excellence, and customer centricity.

What you'll do

• Lead the end-to-end development, implementation, validation, documentation
• Design and deploy fraud detection models across card transactions, applications, checks, payments, and other fraud risk domains
• Analyse large, complex structured and unstructured data sets, perform advanced feature engineering
• Evaluate complex and emerging fraud patterns using graph and network analytics, anomaly detection, ensemble modelling, and other advanced analytical methodologies
• Assess new data sources, modelling techniques, and technologies, and recommend solutions that strengthen fraud detection capabilities and support broader business…

What you need

• 5–9 years in data science & ai
• Machine learning
• Python
• Analytics
• SQL
• LLMs
• Statistics
• Any graduate

Good to have

• MLOps
• Physics

What you get