2 Days 'Financial Modeling' Training By Wall St. Training India In Bangalore
'Corporate Valuation & Financial Modeling' program is designed to help the delegates learning the practical application of the valuation techniques they have learnt in their studies.
- (1888PressRelease) July 16, 2010 - The 2 days Program provides the delegates with an in-depth and practical overview of financial analysis and forecasting techniques. The program helps the candidates to learn valuation fundamentals, forecasting and analytical skills, which are relevant in today's business, banking and financial services world.
Training Modules:
1) Relative Valuation
2) Financial Modeling
3) DCF Valuation
Programme Details
Dates: 17 and 18 July 2010
Timings: 0900hrs to 1900 hrs
Faculty
The training programme is conducted by the finance professionals having experience of working with Bulge Bracket Investment Banks (Goldman Sachs, Lehman Brothers, Merrill Lynch, ABN Amro), Asset Management Companies (Fidelity), and Consultancy Firm (McKinsey, PWC).
For Graduates, MBAs, CAs and Professionals seeking a career in Investment Banking and Equity Research Bridge the gap between academic theory and on-the-job application
Caters to the flourishing skilled manpower needs of the Investment Banking and Financial Services Industry in India and abroad
Dynamic, highly practical & interactive training programmes with real life case studies
Training by ex-professionals from Goldman Sachs, Fidelity, McKinsey, Times PE with professional academic backgrounds as CAs, MBAs (IIM), CFAs
Learn what the companies look for while hiring Analysts and Associates
Mock interviews with Investment Bankers; Gain confidence to land up for an interview at an investment bank
Our commitment to your success goes far beyond the training sessions and programmes
Contact Details
Email: arc.india ( @ ) wallst-training dot com
Mobile: +91 99537 29651
Website: www.arc-academia.com and www.wallst-training.com/india
###
space
space
Satisfied Users & 
Approved Press Releases
Print
Email
Report Spam