Primary Responsibilities 

• Develop production models in support of the initiative of building Identity Data Platform and Solutions with Deep Neural Networks, RNN, CNN, Gradient Boosted Trees, and other advanced supervised and unsupervised machine learning techniques


• Explore and utilize graph analytics, graph algorithms and other graph techniques in model development and deployment


• Prepare and test complex predictive model packages for production deployment, coordinate model installations with production teams


• Define financial and analytic metrics to measure complicated predictive model outcomes and produce performance reports


• Present and interpret modeling and analytical results to non-technical audience and provide marketing/sales materials


• Ensure model risk governance and risk management requests are met; conduct ad-hoc data/model analyses to meet clients’ needs

Secondary Responsibilities: 

• Identify and evaluate new Machine Learning tools and new data sources (internal and external), and drive adoption in production modeling


• Conduct research in latest and emerging modeling methodologies and technologies


• Conduct model Proof of Concept (POC) to support new product development


• Partner with a cross functional team of Product Manager, Software Engineers and Platform Engineers to bring POC to production