Consulting at Ernst & Young
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EY - Analytics Role (4-9 yrs)
Business: Analytics expertise with some exposure to Banking, Fraud Analytics
Tools and techniques :
Must have: SAS, SQL
Must have : hands on predictive modelling experience (Logistic Regression, Linear Regression, Random Forest, unsupervised learning, Decision Trees)
Good to have: Prior experience in Fraud analytics
Proficiency in Data Mining, Business analytics, Data Science, Insight generation.
- Excellent communication skills.
- Proven client management experience
Functional area/ industry, not mandatory.
Preferably from Banking, Retail and Digital Banking.
- Develop Analytics Based Decision Making Frameworks for clients across Banking, Insurance sector
- Project Management
- Client Management
- Support business development and new analytics solution development activities
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