Quantitative analysts use their knowledge of math and numerical operations to solve monetary or risk management problems. Quantitative analysts work with teams of mathematicians, engineers and physicists to develop optimal systematic strategies for trading stock. They write programs, conduct research, perform daily statistical analysis and solve problems to optimize trading strategies.
A quantitative analyst or, in financial jargon, a quant is a person who specializes in the application of mathematical and statistical methods – such as numerical or quantitative techniques – to financial and risk management problems. Similar work of industrial mathematics is done in most other modern industries, but the work is not always called quantitative analysis.
On the sell side, quantitative analysts help banks value their securities. On the buy side, they identify profitable investment opportunities and measure risk against reward. Outside of the banking world, a quantitative analyst might work for an insurance company helping to develop pricing models and risk evaluation strategies. Some quantitative analysts, rather than crunching actual data to make investments or risk management decisions, work on the back end developing computer software to evaluate financial data. These professionals almost invariably have advanced computer programming backgrounds in addition to mathematics and statistics.
KEY SKILLS REQUIRED:
Strong Finance Domain Knowledge – Financial Analysis, Financial Management, Management Accounting
Strong Math background – Quantitative Aptitude
Must be able to work with complex financial models – Excel Modelling
Understanding of equity markets, commodities pricing, bond and derivatives calculations – Equity Trading
Must be able to demonstrate excellent analytical and quantitative capabilities to solve original, non-routine problems in a timely and insightful manner- Abstract Reasoning
Requires excellent written and verbal communication skills and the ability to coordinate work done by multiple people and / or groups- Verbal Ability and Verbal Reasoning
Statistics Knowledge- Statistics
Quantitative Analyst pre-employment test enables employers to identify & hire potential prospects by evaluating their working skills and job readiness. For this reason, an emphasis is laid upon evaluating the knowledge of applied skills gained through real work experience, rather than theoretical knowledge.
The test may contain MCQ's(Multiple Choice Questions), MAQ's(Multiple Answer Questions), Fill in the Blanks, Descriptive, Whiteboard Questions, Audio / Video Questions, LogicBox( AI-based essay evaluation), Job-based Simulations, True or False Questions, etc. The Quantitative Analyst skills test contains a combination of application and theory questions that help you to evaluate the practical skills of candidates.
Quantitative analyst test is designed considering EEOC guidelines. It will help employers to assess & hire diverse talent without any bias.