Why do young people leave quantitative trading 5 to 7 years in their career, and what's your advice for aspiring quantitative traders? @CQFInstitute@RiskDotNet@icmacentre@RiskMinds
The burnout (losing interest in the job) and dropout(leaving the job) rates are stupendous.
#Quantitative Specialist Roles as they exist in the Dealing Room in the form of #Treasury, Brokerage, Fund Management, #Investment Management, #Portfolio#Asset Management, #Derivative Market Making, and various other Front -Office #Risk Roles are highly demanding jobs indeed!
Most of the traders are asked to take a mandatory leave of up to two weeks or more at financial institutions, so they can relax a bit by staying away from the financial markets.
I started my career as a junior #derivatives dealer at a large commercial bank.
I within a year switched to the Treasury #Middle#Office because my mental health deteriorated deeply, and I was always sitting unhappy and under tremendous stress in front of #Reuters Data Terminal
In #Risk Management and Other #Quantitative#Research Role, the pressure could be equally difficult to manage during a market downturn or a complex financial #crisis, but at least you get some breathing space on the normal trading days,
For a Trader/ Dealer / Market Maker there are normally no NORMAL day/s!
Every trading day across financial markets brings a challenge.
The last thing you hear in your ear before leaving the office is the famous and most favourite sentences spoken by your boss.
Some of those which I still remember are as given below =>
•“Square your position”,
•“don't overshoot limits”,
•“cut your position now”,
•“keep yourself in the right tail of the market” ,
•“You dumb Axx, are you hedged?”
Who would tolerate this for more than 7 years on a day in and day out basis?
I won't!
Hence, I changed careers!
If the connotation of risk is an intertwined concept and is difficult to quantify, how does a Risk Officer look at it?
Is there any way other than using copula models to determine systemic risk with long tails or a black swan event? @CQFInstitute@GARP_Risk@SOActuaries
I guess we are worried about Market and Credit Risks or other interrelated financial risks which can create conjoint loss given events.
Any #Gaussian distribution model will enable you to model and predict potential Operational, Liquidity and Balance sheet AL - (Asset - liability) Mismatch, Market and Credit drove losses under normal market conditions.
I am into risk management.
Most of the risk managers are now required to have an advance background in operating technological applications such online trading and price data terminals (Bloomberg/Reuters, etc),
FINTECH, Crypto Assets, Digital Marketing based vendor systems, DLT(Distributional Ledger Technologies) - Blockchain, AI / ALGO based trading in financial markets, Derivatives and Risk Pricing Engines and other Software Computational Programs,
Risk MIS/ERP Project Management Tasks, 4GL Fourth Generation Languages, Data Warehousing, BI, MI, SQL, NoSQL, and so on etc.
How seriously is past volatility a fair estimate of future volatility or risk useful in financial models? @GARP_Risk
Historical Volatility based on empirical data sample observations.
Data Sample Observations can be historic baseline data for a particular asset class/exposure or simulated data derived from iterations using some historical data sets.
Another branch of data which can be used to observe future volatility is exploratory data drawn from within a sample or a population using data #visualization tools.
This technique is becoming popular as data science and machine learning advancements are taking place
Many Financial / Middle Office Risk and other Quantitative Economics/ Financial Market-led research roles interface at one level or the other across FIs.
I don't know if a bank uses Employee Rotation, to foster employee learning, training and development across the 3LOD Model?
But, most of the banks, in the Advanced Markets, to use job rotation as a tool, to disseminate professional knowledge and understanding of financial market operations, among their employees.
Did the Asian Financial Crisis (1997) had any influence in the 2008 crisis? @GARP_Risk
No, Not really!
#SOX Compliance came after ENRON and WORLD COM Frauds and Financial Reporting Failures.
You cannot mix the two events.
Asian Financial Crisis came about as a result of Unsound Macroeconomic Policies, disrespect for stabilization, excessive price competition among trading nations, lack of Asset Liability Risk Management done at the Central Banks, monopolistic market structures,
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!