Current Scenario
The employment outlook of a particular profession may be impacted by diverse factors, such as the time of year, location, employment turnover, occupational growth, occupation size, and industry-specific trends and events that affect overall employment.
Financial Engineers can expect a steady growth in job opportunities over the next few years, thanks to a burgeoning recognition of the need for organisations to innovate and adapt to technological change.
Financial engineering can develop new products and pricing structures that help businesses improve efficiency and reduce costs. In addition, the opportunity to work in diverse industries, with diverse companies, on diverse projects will enable Financial Engineers to enhance their skills in diverse fields.
In Keeping With The Times
Increasing emphasis on technical skills makes it imperative for Financial Engineers to get the hang of quantitative analysis techniques and mathematical modelling, including probability theory, statistics, stochastic calculus, optimisation methods, and numerical analysis.
Programming languages that help with data analysis, financial modelling, implementation of algorithms and risk management methodologies that help assess and mitigate all kinds of financial risk are also crucial in quantitative finance.
Determining how to build and implement financial models through a comprehensive understanding of discounted cash flow (DCF), option pricing models (Black-Scholes, Binomial models), Monte Carlo simulations, and portfolio optimisation is essential.
Familiarity with data analysis techniques such as statistical analysis, data cleaning/manipulation/visualisation, and tools such as SQL and data analysis libraries in programming languages can work to one’s advantage.
The ease with which Financial Engineers can navigate their way through financial software applications and platforms such as pricing derivatives, risk management tools, portfolio management systems, and financial data providers can speak volumes about their competence.
Professionals who can figure out equities, fixed-income security, derivatives, commodities, and foreign exchange (forex) markets can unravel the mysteries of financial markets, instruments, and trading strategies.
Equally important is the ability to make sense of econometric methods and their application to financial data through time series analysis, regression analysis, and forecasting techniques.
The ability to make sense of financial theories, corporate finance, financial accounting, and relevant regulatory frameworks can further your understanding of finance, economics, and investment principles.
All Financial Engineers need effective communication and presentation skills to convey the complex concepts and analytical findings they have arrived at through a judicious mix of the above-mentioned technical skills to both technical and non-technical stakeholders.
Potential Pros & Cons of Freelancing vs Full-Time Employment
Freelancing Financial Engineers have more flexible work schedules and locations. They fully own the business and can select their projects and clients. However, they experience inconsistent work and cash flow, which means more responsibility, effort and risk.
On the other hand, full-time Financial Engineers have company-sponsored health benefits, insurance and retirement plans. They have job security with a fixed, reliable source of income and guidance from their bosses. Yet, they may experience boredom due to a lack of flexibility, ownership and variety.
When deciding between freelancing or being a full-time employee, consider the pros and cons to see what works best for you.
What’s In a Name?
Financial Engineers may go by other titles, such as quantitative analyst, risk manager, derivatives specialist, investment strategist, algorithmic trader, portfolio manager, quantitative developer, financial modeller, finance data scientist, or financial innovator.
Although their essential job responsibilities remain similar, work location, type of employer and organisational size have a say in whether one might find professionals with the above job titles coexisting in the same organisation or department.
Artificial Intelligence (AI) and Finance
Artificial intelligence (AI) is significantly influencing the finance sector, and its impact is anticipated to amplify. Automating tasks such as credit card fraud detection and stock market analysis will free up their time so that Financial Engineers can now focus their attention on areas requiring human judgment, such as investment banking and risk management.
In Aid of Cybersecurity
A steadily growing dependence on technology leaves businesses in need of cybersecurity specialists. Financial Engineers who are masters at protecting sensitive data and using technology to improve business operations are well-suited to assume the role.
The Flip Side
While revolutionising financial markets, financial engineering contributed to the 2008 financial crisis. As subprime mortgage defaults surged, they triggered a chain reaction of credit events. As issuers of Credit Default Swaps (CDS), banks struggled to fulfil payment obligations due to simultaneous defaults.
Corporate buyers who invested heavily in mortgage-backed securities (MBS) discovered their CDS holdings had become worthless, resulting in reduced asset values on their balance sheets, corporate failures and a subsequent economic recession.
Although the 2008 global recession may be partially laid at the door of structured products engendered by financial engineering, there is no denying that this quantitative discipline has introduced innovation, rigour, and efficiency to financial markets and processes.