Financial Risk Analytics

Learn market risk optimization and credit risk modeling through free Financial Risk Analytics course

Instructor:

Dr. Abhinanda Sarkar
4.55
average rating

Ratings

Beginner

Level

3.0 Hrs

Learning hours

82.4K+
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Learners

Skills you’ll Learn

About this Course

Financial risk analytics is an evolving function in the financial sector due to the increased responsibility in the risk analytic that not only provides solutions that pertain to hedging the risk management techniques, but also the financial risk analytics. This course also helps us learn more about credit risk, market risk, regulatory risk capital, and advisory valuation adjustment.

This financial risk analytics course covers analytical techniques involved in risk and investment management and their course not only focuses on a core financial risk analytics concept across all types of financial risks including pricing, valuation hedging, and risk analytics across various assets. There are many types of financial risk analytics involved which we will be learning. This is a free course and you will receive a certificate upon completion of the same.

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Course Outline

Financial Risk Analytics - Overview
Credit Risk Basics
Credit Risk Modelling
Market Risk Optimization
Credit Risk Modelling PD
Credit Risk Loss Distributions

Our course instructor

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Dr. Abhinanda Sarkar

Faculty Director, Great Learning

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503.3K+ Learners
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17 Courses
Dr. Abhinanda Sarkar is the Academic Director at Great Learning for Data Science and Machine Learning Programs. Dr. Sarkar received his B.Stat. and M.Stat. degrees from the Indian Statistical Institute (ISI) and a Ph.D. in Statistics from Stanford University. He has taught applied mathematics at the Massachusetts Institute of Technology (MIT); been on the research staff at IBM; led Quality, Engineering Development, and Analytics functions at General Electric (GE); served as Associate Dean at the MYRA School of Business; and co-founded OmiX Labs.

Dr. Sarkar’s publications, patents, and technical leadership have been in applying probabilistic models, statistical data analysis, and machine learning to diverse areas such as experimental physics, computer vision, text mining, wireless networks, e-commerce, credit risk, retail finance, engineering reliability, renewable energy, and infectious diseases, His teaching has mostly been on statistical theory, methods, and algorithms; together with application topics such as financial modeling, quality management, and data mining.

Dr. Sarkar is a certified Master Black Belt in Lean Six Sigma and Design for Six Sigma. He has been visiting faculty at Stanford and ISI and continues to teach at the Indian Institute of Management (IIM-Bangalore) and the Indian Institute of Science (IISc). Over the years, he has designed and conducted numerous corporate training sessions for technology and business professionals. He is a recipient of the ISI Alumni Association Medal, IBM Invention Achievement Awards, and the Radhakrishan Mentor Award from GE India

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Financial Risk Analytics

3.0 Learning Hours . Beginner

Why upskill with us?

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700+ free courses
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