Build advanced fraud models with machine learning and deep learning as a hybrid Machine Learning Fraud Model Engineer at BMO. Work from 100 King Street West.
Within BMO’s Data Analytics & Reporting group, this role develops data and artificial intelligence products for financial crime management. You will apply algorithms, statistical analysis, forecasting, multivariate testing, and optimization to discover patterns and improve fraud detection. The position also connects technical findings with business needs through explicit storytelling and recommendations.
Key Responsibilities
Apply advanced algorithms to create better prediction models
Discover patterns across potentially large datasets
Research practical solutions to financial crime exposures
Develop data and artificial intelligence products
Build relationships with internal and external stakeholders
Requirements
Five to seven years of relevant analytics experience
Advanced quantitative degree or equivalent experience
Experience with XGBoost, H2O, or SparkML packages
Deep proficiency in quantitative and predictive analytics
Fraud modelling experience within a large financial institution
Bring advanced algorithms, deep learning, and statistical expertise to BMO’s fraud prediction and financial crime analytics work.