About Business Intelligence Unit :

The Business Intelligence Unit is a high profile team with a mandate to drive data based decisions within the bank. Reporting in to Head Banking Operations and Transformation, this department works with all businesses of the bank including retail, small business and corporate to drive analytics. In terms of functions, the department has teams focused on all aspects of analytics for the bank including risk analytics, financial crime analytics, business and marketing analytics, building predictive scores, data engineering and business reporting.

About the Role:

The Business Analyst is a part of the Analytics team primarily focusing on Banking products & services. The Analytics team is responsible for the end to end strategy, design/development and performance synthesis of all lending products for the bank

Key Responsibilities

· Responsible for developing product strategy, conduct portfolio analysis

· Leverage analytics to drive insights to optimize Pricing / Channel mix for consumer portfolio

· Develop business insights by performing root cause analysis using Regression and Decision trees

· Perform Profitability (Valuation Models) analysis for all asset products

· Pro-actively work with Product/Risk/Marketing team to drive business strategies

Qualifications:

Optimal qualification for success on the job is:

· Advanced degree (master’s or above) in a quantitative subject such as Engineering, Mathematics, Operations Research, Statistics, Economics or Finance

Role Proficiencies:

For successful execution of the job, the candidate should possess the following:

· Design and implementation of analytical strategies to drive profitability for the bank

· Regular synthesis, reporting, analysis and insight driven approach for the bank’s products

· Analytically driven sales and services using propensity based models and valuations

· Should have experience on SAS or R or Bigdata or Python.

· Strong data handling, interpretive and problem solving skills with the ability to process large volume of transaction level data and efficiently derive actionable results.

· Having a ‘results oriented’ attitude with ‘go get it done’ skill

· Good project management skills while working with both internal and external partners

· Should have a high degree of motivation with a continuous thirst for learning