17 Aug
|
Canadian Imperial Bank of Commerce
|
Toronto
17 Aug
Canadian Imperial Bank of Commerce
Toronto
What you’ll be doing As a Consultant, Fraud Analytics, you will independently design and perform moderately complex statistical analysis using advanced analytical techniques and data mining tools to deliver fraud monitoring, detection and prevention solutions by using SAS, SQL and/or Python. Predictive modeling include complex statistical concepts/theories and predictions including optimization, neural nets, logistic regression, decision trees, random forest and sampling. You will also conduct ongoing data analysis associated with rules management within CIBCs fraud mitigation systems. Thereby, implementing current strategies and continuous improvement to existing strategies, associated with fraud monitoring systems, in order to mitigate fraud losses and decrease customer impacts/irritants. You will also collaborate with internal and external stakeholders to ensure successful deployment of fraud solutions across the
📌 Consultant, Fraud Analytics (Toronto)
🏢 Canadian Imperial Bank of Commerce
📍 Toronto