BUILDING A CAREER IN FINANCIAL ANALYTICS

Analytics plays an important in the financial services domain. Applications of analytics are plenty – credit scoring, claims processing, hedging, portfolio analysis, and customer analytics to name a few.
Building models for credit scoring to identify risky customers, identifying fraudulent transactions using pattern detection, identifying cross-sell and up-sell opportunities – these are all examples of application of analytics in the financial services sector.Financial analysts produce financial plans, projections and analytical reports for use in investment decisions by companies, public and private organizations, and individuals. Depending on the type of analyst job, the duties can vary quite a bit.
Career Paths
A recent Certification seeking to become a financial analyst can expect to begin in a junior position under the guidance of a senior analyst. After several years of experience, many junior financial analysts consider returning to Institute for advanced Certificate. While junior analysts are not barred from advancement, continuing progression to positions with greater responsibility usually necessitates returning to school. A Certificationexpect to begin work as a senior financial analyst or rise to the position very quickly.
With greater experience and expertise, a senior financial analyst can continue into a supervisory position. A senior analyst in the securities industry often moves up to become a portfolio manager or a fund manager overseeing a team of senior analysts. There may also be an opportunity to enter a senior management role. In the corporate world, senior analysts can become treasury managers supervising working groups within their departments. A standout performer may rise through the ranks to become a chief financial officer (CFO) responsible for all of the company’s financial activities.
Data Scientist, With An Emphasis On Analysis
Not all data scientists are created equal. Some people who enter the field have a greater interest in analysis and modeling than they do in computer science. Compared with the previous type of data scientist (which is heavy on computer science), this path focuses more on math and statistics. With excellent knowledge of statistics and coding skills, these data scientists build complicated models and simulations in a big data environment.www.iibmindia.in
Bentley students who are excited by this career path may be interested in any of these data science electives:
• Web-Based Application Development
• Data Management Architectures
• Business Intelligence Methods & Technologies
• Object-Oriented Application Development