Responsibilities:
Identifying and prioritizing business use cases: Work with business heads/product heads to identify and prioritize business problems which can be solved through data analytics. The individual should have knowledge of wholesale/SME bank products.
Opportunities identification:Identify income generating opportunities or alerts or triggers or early warning signals from the existing wholesale bank customers by mining transactions
Building the analytics engine: Lead a team of business analytics, who have knowledge of SQL/SAS &/or R/Python and can draw insights from banking transactions and product usage. Experience of having built credit/propensity/classification models individually or jointly with the data science team.
Guiding the data scientist:Liaise with data scientist to build predictive or classification models or advanced text mining solutions based on the problem statement
Business Understanding and Stakeholder Management:Deep understanding of drivers of income and triggers in case of SME/Wholesale customers and products. Drive implementation of analytics solutions jointly with business owners
Strong Analytical Skills:Expertise in using statistical tools SAS/R/Python. Ability to generate business insights from data
Engagement with Alternate data/vendors:Ability to work with alternate data vendors to develop models for acquisition or data mining or exploring newer opportunities to identify alerts/triggers/early warning signals.
Additional requirements:
Education Background: M.Sc. (Stat)/M.Tech Data Science/MBA/ CA Specialization from Tier I or Tier II institutes. Relevant experience of atleast 8 -10 years in the Wholesale/SME space
Presentation - should be good at verbal communication and presentations using MS Power Point
Project-management skills - The individual should be able to direct an analytics initiative from ideation through POC and final execution of solution
An entrepreneurial spirit - Should have the enthusiasm, commitment and business savviness to drive the implementation of solutions
Team Management:Ability to lead and motivate a team of skilled business analytics/data scientists
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