This role leads the re-imagining of fraud strategy design using advanced AI and automation-led approaches to accelerate speed-to-market
Job Summary
This role leads the re-imagining of fraud strategy design using advanced AI and automation-led approaches to accelerate speed-to-market.
The position applies machine learning techniques like logistic regression and gradient boosting to modernize how fraud strategies are conceptualized and deployed.
Candidates must partner closely with Fraud Strategy leadership, Technology, and Data Engineering teams to drive strategic change and shape the future operating model.
Matching Summary
This role leads the re-imagining of fraud strategy design using advanced AI and automation-led approaches to accelerate speed-to-market.
Salary
Not specified; Not specified; Not specified
Skills & Requirements
Must-have
6-10 years analytics experience
Python machine learning expertise
SQL Hive Spark PySpark skills
Logistic regression gradient boosting
A/B testing experimentation frameworks
Nice-to-have
Strong stakeholder influence skills
Bias for action mindset
Senior level communication abilities
Strategic partnership capabilities
AI ethics and governance knowledge
Key Requirements
Bachelor's or Master's degree in quantitative field
6-10 years experience in analytics or data science