Manish J. Email & Phone Number

New York, New York, United States

Leading development and deployment for POS lending product in BNPL space

Greater New York City Area

Leading multiple strategic data and analytics transformation projects across multiple clients in different sectors. Developed machine learning and AI applications on cloud (AWS, Azure and GCP) for a number of machine learning/deep learning/NLP use cases using open source and third-party solutions. Identified opportunities to use Machine Learning and AI in.

Greater New York City Area

Led large data science programs for banking and financial services clients. Developed and deployed machine learning models for a number of clients across credit risk, marketing, fraud, collections, and regulatory domains (e.g. CCAR, Basel). Led large global teams (up to 100 people) across multiple geographies to deliver these projects.

Led multiple client engagements for credit risk and fraud modeling for a large credit card issuer. Developed and deployed machine learning models using XGBoost for the first time in Risk Management. Automated model monitoring and reporting process.

Greater New York City Area

Developed CCAR and Loss Forecasting models for large credit card issuers using ARIMA and Survival Modeling techniques. Documented the models and worked with Model Governance and Regulatory bodies (OCC, Fed) to obtain approval

United States

Led a team of 10+ to support top US banks in model risk management areas including model development, model validation, model monitoring.

Lead the analytic's work stream in the projects, mainly in banking and credit card industry. This involves articulating problem statement, conceptualizing methodology framework, designing analysis plan and coordinating with junior team members to ensure timely delivery. Also responsible for training of junior team members

Worked onshore and offshore on several client projects in area of Risk and Marketing Analytics. Built PD, response, time series (ARIMA),and segmentation models and familiar with different data analysis tools and techniques: K-means clustering, CART, bi-variate analysis, etc. Secured 8th position in world wide data mining competition: KDD 2009.