The #Wirecard Scandal once again highlighted the incompetence of external #auditing firms.
That is why firms must invest in setting up proactive Corporate Governance, Risk Management and Compliance desks.
These are very important silos in a company, which must work together.
The best and most sought-after professionals should be working in these areas, especially after the #ENRON and Arthur Anderson Fiasco led to the naming and shaming of the audit and financial reporting professions.
Directors appointed to committees should also be well trained to understand the nature of top financial and operational risks, which can cause potential material hazards and affect the bottom line.
The BAC Board Audit Committee should oversee all activities pertinent to auditing and risks, continuously.
Also, the #BRMC Board Risk Management Committee should work separately and must have well-trained risk personnel who understand financial risks, fraud risks, cyber risks, and other operational risks which include process risks and legal risks.
The problem is that their incident reporting is not proactive risk management.
That is where, and why, companies do fail!
Auditors usually review risks in a latent manner, as per the audit plan submitted to the board; whereas, the first, and second lines of defence should proactively monitor risks.
Using CORE Risk libraries which make use of KRIs, Risk registers, Risk Taxonomy, Risk Appetite Statements, Risk tolerances, Risk parameters, Risk Forecasting models, Detective and Preventive Internal controls, RPN- Risk Prioritization Numbers, Risk escalation procedures,
Risk Practioner Rulebooks, other interdisciplinary best practices, etc
I am surprised that with the existence of multiple risk management and auditing internal controls standards that exist in the financial tech services industry, this happened.
I would like to end my chain of thought by saying that all #insolvencies are not due to #fraud.
Some might also occur due to sheer human incompetence, economic downturns, violation of risk appetite controls, unrevised policies or technological drawbacks, etc.
However, it is now established in the case of WIRECARD that the fraud risk became the Achilles heel which led to bankruptcy.
The external auditors, appointed by the BAC Board Audit Committee, should also be investigated as per the law.
Such audit firms, which are deliberately ignoring risks or are caught cooking the books, should be banned, not just penalized.
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I am for education leading to human capital development, knowledge capital formation, talent management, and skill development, etc.
My views have adjusted slightly.
Most of the countries which have found themselves to be in trouble did include those with high literacy rates.
Look at the Former GDR, now defunct Yugoslavia, USSR, and Somalia.
Other Warsaw Pact Nations provided compulsory education.
Shah's Iran was well educated.
Those states &/or regimes don't exist anymore.
Srilanka which had recently defaulted has an above 90% literacy rate.
Turkey?
Education and investment in human capital are very important, provided the state uses its subjects as means to attain ends.
Unfortunately, only investing in tinpot academic ventures with large educational budgets dolling out overseas scholarships is unproductive & rubbish.
Will data science overcome quantitative finance in terms of employment and salary? @CQFInstitute@datafitter
Well, I think you are asking a relevant question.
It can be explained using a Social Darwinian Perspective.
First, the Simple answer =>
YES, => Quantitative Finance, will get absorbed into Data Sciences and Machine Learning Areas as a sub-field.
WHY?
Because many subjects develop independently, they get assimilated into the much larger disciplines or subjects which offer more attractive career remuneration, research opportunities, social status, social mobility and scholarly following and readership.
This is not an exhaustive list.
I am just sipping coffee and writing this tweet.
There are many other institutions which might be damn good. @Harvard Business School is the best for Business econs / #DBA.
Other Ivy League universities not aforementioned have superb PhD programs.
@Columbia offers MSc Financial Maths and MBA.
Financial Maths Degree was a conjoint project undertaken by Industrial Engineering and Operations Research Departments (plz check the website now)
Great if you want to do a Quantitative Finance PhD sharing expertise of different depts
MSMEs do not have the technical acumen or the human resource expertise to produce documents which are required by financing institutions.
The most difficulty comes to producing and presenting cash flow statements.
Some potential borrowers cannot compute cash projections
Especially Micro and Small Firms, which are managed informally by households, usually do not maintain proper book-keeping and accounting systems.
Banks have to use their own historical loss databases to compute credit metrics such as PD, LGD, EAD,etc.
And most of them have errors
Demographic and Geographic indicators can play a role in assessing and evaluating credit risk management, especially during the loan examination phase.
Sectoral Loan Risk Data can be aggregated to compute Risk Measures. #Saunders FI-Risk management has a chapter dedicated to it
I remember starting my career as a junior derivatives dealer.
The first stupid question I asked was why currency dealers use par-curve yield curve rates to compute FX Swap points?
No "#boostrapping"?
The Chief Dealer/ Head of FX Linear and Cross Currency Rates was not pleased.
Actually asking stupid questions early on in our career helps.
Provided you have a tolerable boss who can entertain stupidity.
But, if you ask questions which threaten your reporting line, then you are cooked!
Done.
Find your next job asap.
My CRO - Chief Risk Officer, was a banker who didn't know maths and statistics.
The man was a nightmare proposition for the academically tuned young graduates
Poor chap begged me to not bring my work to him because he could not check it.