Data Analytics Manager
About this position
Responsibilities
• Build predictive models for credit risk, collections, fraud, and other business needs in Financial Industry
• Manage and own the entire end-to-end lifecycle of building and validating predictive models along with their deployment and maintenance
• Engineer predictive features from existing data to build refined customer profiles.
• Identify external data assets to bring into the model mix
• Work backwards to conceptualize and design analytic model frameworks to solve business problems
• Strong communication skills to share your learnings, lead with the given strategy, get multiple stakeholders to buy into the vision and execution of the analytics roadmap
Requirements
• Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
• At least 4 years of hands-on experience in building, evaluating, and monitoring ML collection risk or consumer credit scoring models for financial products
• At least 2 years of leadership experience
• Solid understanding of mathematics and statistics
• Sound knowledge of machine learning concepts such as Bagging, Boosting, Recommendation Engines, etc
• Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
• Expert in feature creation on a variety of data types
• Professional experience in building machine learning analytics model development
• Understanding of trade-offs between model performance and business needs
• Proven experience to formulate data science solutions to business problems
• Proven ability to communicate with business and know business needs
• Work experience and knowledge of more than one domain is a plus - Risk Analytics, Marketing Analytics, Fraud analytics etc.