Manager - Predictive Modeling, Campaign Analytics & Segmentation

Description

Use advanced analytics and modelling techniques to create models to achieve business objectives.

• Behavioural Analysis of Customer towards Channel usage, Spends
• Standardise Campaigns based of important parameters, such that time to market is minimum and conversions are better.

• Liaise with Business groups to implementing the segment proposition

• Acquisition, Anti Attrition and Behavioural campaigns build based on predictive modelling

• Post Analysis of the Campaigns and suggest methods to improve

• Modeling Score Accuracy
• Drive Predictive Models for Efficient Acquisition and Retention
• Drive Behavior Models for efficient campaigns.
• Provide reports that let business keep track of key drivers and help to align to overall retail bank strategy.
• Value added analysis as and when required by Business

• MBA with a proven quantitative orientation and/or a master’s degree in Mathematics, Statistics, Economics, Commerce or Finance. Candidates with statistical background would be preferred.

• Hands on technology components include business analysis, data analysis, data mining components such as Neural Networks, Clustering, Decision Trees and Apriori and basic knowledge of SQL.

• 7 or more years of experience in data mining including experience in an analytical environment with a financial institution/ bank in a retail business/ product role. Demonstrate proficiency in analytic techniques extensively applied across industries (Banking, Financial, Credit Cards, Airlines and Telecom etc.)

• Strong analytic capabilities, business consulting /presentation skills and knowledge of database marketing.
• Understanding / exposure to products and services offered by the banking industry preferable.
• Knowledge of Statistics and statistical and data mining packages such as SPSS Modeller is a definite plus.
• Logical data interpretation ability.
• Effective interpersonal and verbal and written communication skill.