Careers@
Finstreet
Career Profiles in Finance
Table of contents
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Analytics
Risk management
Credit Rating
Commercial Banking
a. Retail Banking
b. Wholesale/ Corporate Banking
Treasury
Corporate Finance
Financial Advisory Services
Investment Banking
Equity research
Asset management/ mutual funds
Project financing
Real estate
Securities sales & trading
Private Equity
Insurance
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Analytics
Description:
The fundamental goal of Analytics is to help organizations by leveraging data in the most
sophisticated manner to reach the right customer through the right channel, with the right
product, at the right price, and at the right time.
Analytics can progress along two lines:
Using existing patterns/metrics/performance indicators or Industry generic metrics or
Company specific metrics to analyze data
Using Sophisticated statistical/data mining tools to derive new performance
indicators i.e., Developing Statistical Models
Data collection and analysis are viewed as a continuing and iterative process and ideally over
time business decisions are refined based on feedback from earlier analysis and consequent
decisions. It follows procedures including data extraction, loading and cleansing, data
warehousing, data modeling, intelligence/ analytics, driving insight.
As customers avail of a basket of services, from a basic checking account to more advanced
loans and brokerage services, the channels and product offerings will have to be
continuously evaluated to ensure that a service provider is able to reach the customer with a
complete view of what the customers needs. In situations where personalized service is
required on an individual customer basis, it becomes important to look at transaction level
data, as compared to data summarized by just channels and/or products. This type of
individualized attention is standard for clinical trials in the...