The candidate would be part of the analytics unit of the Bank and work as a business analyst. The analytics unit is responsible for providing analytical support to all retail asset functions working across the life cycle of the customer.
The role requires someone with good number skills and ability to make sense out of large volumes of data.
Business analysts seek to understand the business issues and information challenges that organizations and industries face. These professionals assess the health of a business and determine where areas can be enhanced or streamlined. In addition, business analysts examine and modify business requirements, procedures and work flows according to a firms objectives, specifications and budget.
Collect, analyze, and interpret data and statistics using quantitative and qualitative methods. Prepare and present complex and detailed statistical reports.Use integrated relational computer systems to create and access database files and prepare statistical charts, graphs and exhibits.
Analytics is a multidimensional discipline. There is extensive use of mathematics and statistics, the use of descriptive techniques and predictive models to gain valuable knowledge from data analysis. The insights from data are used to recommend action or to guide decision making rooted in business context.
The analyst also does marketing optimization, portfolio analysis, risk analysis, digital analytics etc with the help of banks database. To have exposure to different analytical tools like decision trees,SAS, score card development.
Predictive models in banking industry are widely developed to bring certainty across the risk scores for individual customers. Credit scores are built to predict individuals delinquency behavior and also scores are widely used to evaluate the credit worthiness of each applicant and rated while processing loan/card application. Engaging with business teams in the bank in the development and implementation of data-driven strategies.
Driving customer life-time value & experience through deep analytics:
Effective customer life-cycle management (CLM) can enable powerful customer interaction strategies that power significant business growth and profitability. Eg: Credit card business.
Implementing frontline transformation changes:
Analytics team helps optimize and build integrated, cross-functional programs through an in-depth understanding of affinity and traction in relation to new(external) and existing(internal) customers. The analyst work closely with functional units to strike the right balance between sophisticated data analysis and the practical front-line change.
From adaptive to predictive to prescriptive risk analytics :
Analyst uncover unexpected patterns and associations and develop models to guide front-line interactions with big data analysis. This can help you prevent high-value customers from leaving, sell additional services to current customers, develop successful new products, improve operational efficiency, or identify and minimize fraud and risk.
Experience : 0 to 5 yrs.
Salary : Not specified
Job Location : Chennai
Qualification : BE/B.Tech, B Com, MBA/PGDM, M Sc
Company Name : HDFC Bank Limited
Company Address : NA
Company Profile : HDFC Bank Ltd was promoted in the year 1994 by the premier housing finance company of the country, HDFC Ltd. The Bank commenced operations as a Scheduled Commercial Bank in January 1995. Today the Bank has a nationwide network of over 2000 branches and 5624 ATMs spread over 996 towns and cities across India The Banks American Depository Shares (ADS) are listed on the New York Stock Exchange (NYSE) and the Global Depository Receipts (GDRs) are listed on Luxembourg Stock Exchange.
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23-01-2017 , 24-01-2017