Is doing a graduate degree in risk management and insurance worth the money? Why?
@GARP_Risk @actuarynews
Depends!
#riskmanagement is a broad area which can offer various lucrative roles, especially in the financial sector.
They are a lot of risk management degrees available in the market.
Which one would you like to study?
And where it is being offered?
If the degree will focus more on Insurance Underwriting Management and related Risk Financing Courses, I won't advise you to do such a qualification.

The scope of such a degree won't go beyond Life and P&C Insurance Firms.
If the degree focuses more on Financial Risk Modelling, #ERM, #Cybersecurity, Information Security Risk Management, Lean Six Sigma and Quality Management, R and Python Coding, C language, SQL, NOSQL,VBA,MATLAB, EconoPhysics & #Econometrics, I would advise you to do such a degree.
But the questions remain =>
•How Quantitative/numerate the Degree is? A “GOOD DEGREE in Risk” should include => Inferential Statistics, Time Series, Applied Time Series, Regression Modelling and Diagnostics, Monte Carlo Simulation Methods, Experiment Design and RCTs,
Advance Business Calculus, Actuarial Probability and Statistics, Operations Research, Insurance Math and Econometrics with applications in Market, Credit, Liquidity and Operational Risk Measurement and Modelling.
o(NOT JUST DOING A FEW BASIC XLS EXERCISES in Value At Risk Computation Techniques and Models).

•How it will help you to get a job outside the Insurance Sector? Which is completely dominated by Quants (Financial Mathematicians and Econometricians) and Fully Qualified Actuaries
•How it will help you to compete against Internal Control Testers and Auditors, Financial Engineers, Quants, Actuaries and Financial Risk Management Experts? Note: All of them might be vying for the same risk roles advertised by companies.
Especially Operational Risk management is dominated by ERM and Audit Experts.
•How much of programming will you learn? C++, MATLAB, VBA, PYTHON, R or any other language?
•How Much of DS and Machine Learning technology is taught in addition to CS - Computer Science Programming? Any exposure to AIT - Artificial Intelligence Technology and Deep Learning in Python? Any exposure to Data Mining Techniques using SAS?
•Will the degree teach statistical and financial computation and modelling using MS XLS - VBA Macros Applications? That is total rubbish and outdated if that is the case.
•Will you get an opportunity to model and learn Insurance Derivatives and Structured Products?

This is an emerging area.
•Will the degree teach #Insurance Accounting and Law?

•Financial Regulation? Compliance? #GRC?

Which should include -Solvency II or the ERM framework/s such as #COSO or #IS031000 or others?

Take all the above into consideration before applying.
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More from @SAH16928046

13 Dec
What are the different ways in which banks can reduce and manage different types of risk?
@GARP_Risk @actuarynews @SOActuaries @RiskDotNet
By understanding what risk is in terms of its purported definition?
If you get the definition wrong, you won't understand the technical expression in either theory or practice.
So, get that right first!
#Risk is a two-sided phenomenon, like a coin!

2. The one side of the coin presents an Opportunity!
2.The another side of the coin presents a Threat!

On which side would you like to do betting?
Read 18 tweets
11 Dec
What is the difference between financial econometrics, econometrics and quantitative finance?
@GARP_Risk @CQFInstitute @SOActuaries
Financial Econometrics basically utilizes Financial Market Data to build mathematical and statistical financial models and later analyze the statistical significance and make predictions.
It is generally used by risk managers and economists to predict(forecast) and study the return market characteristics. GARCH models and other Time Series Models are used to study the pattern of Return Volatility Clusters, Tail Dependence Events, Covariances,
Read 14 tweets
11 Dec
How do I know if #Actuarial Science is meant for me?
@SOActuaries @actuarynews
It is not easy to assess your aptitude in a given subject by only passing high school exams or getting good grades in Math, Statistics and/or Further Maths(Advance Math) at the higher secondary level.
I know many Math geniuses, who entered into Actuarial Science and Risk, but later moved out because they didn't want to restrict themselves & their field of specialization to just Insurance and risk management sectors in the economy.
So, it all depends on whether you would like to work solely within the risk management area and insurance, or you would like to have a more broad-based career.
Read 4 tweets
11 Dec
How do I secure a role in FRM - Financial Risk Management at Fis Financial Institutions?
What would be the starting point for a person interested in risk management?
@GARP_Risk @actuarynews
Do a basic undergraduate or preferably a postgraduate degree in Quantitative Finance/ FE Financial Engineering / Risk management or Actuarial Science.
Even a degree in other highly numerate fields such as Data Science and Machine Learning can help you in different areas of FRM.
Some students, who come from other numerate backgrounds, such as Engineering, Physics, Mathematics, Statistics, or even Computing Sciences with a strong background in Technology or Programming/Coding, can also end up doing well in the FRM Profession.
Read 8 tweets
10 Dec
Our #narratives on theology, nationalism, wars, economics, philosophy, logic, methodology, sociology, history and anthropology, shall determine the amount of #complexity that exists within an #ecosystem, such as a society or something bigger which takes on the mantle of a state.
what sustains an Open Society based on Bourgeoisie Sentiments?

That is what will make us understand the notion of #pertification in a complex, agile, and adaptative ecosystem that consists of living organisms.
the greater the diversity of views, the more complex the national narratives shall become, leading to a greater demand among the intelligentsia to curb liberal thinking and individual freedoms.
Hence, higher complexity shall lead to society and its planners to impose controls!
Read 7 tweets
4 Dec
How difficult is to move from wholesale banking credit risk modelling (8 yrs of experience) to operational risk?
@GARP_Risk @actuarynews @actuarialpost @TheActuaryMag @jbhearn
Credit risk modelling as per @BIS_org Guidelines (FIRB and AIRB) is different from OR - Operational Risk Modeling because the methodological concepts, logic and applications have contrasting operating characteristics.
Operational risk models generally require a Compound Poisson, Lognormal, Negative Binomial, Binomial, Weibull or any mixture distribution(for e.g. a bi-modal shaped distribution which represents both severity and frequency of internal and external loss data sample sets)
Read 22 tweets

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