A long-term career as a quantitative analyst generally requires a graduate degree in a quantitative field such as finance, economics, mathematics, or statistics. Degrees in theoretical physics, engineering, computer science, and other fields that deliver high-level training in mathematical modeling and other advanced quantitative techniques may also be acceptable.

To become a Quantitative Research Analyst, a strong foundation in mathematics, statistics, finance, and computer programming is essential. Willingness to upskill in these areas and strong analytical skills are crucial. Here are the basic skills and knowledge areas you'll need to get started:

1. Mathematics and Statistics: Proficiency in probability, statistics, calculus, linear algebra, and stochastic calculus.

2. Programming and Data Analysis: Strong skills in programming languages like Python, R, C++, or MATLAB, and experience in data manipulation and statistical analysis.

3. Finance and Economics: Understanding of financial markets, instruments, financial theories, risk management, and econometrics.

4. Quantitative Modelling: Ability to develop and implement mathematical models, and design and optimize algorithms for trading strategies, pricing, and risk management.

5. Soft Skills: Strong problem-solving abilities, effective communication skills, and attention to detail.

6. Tools and Technologies: Familiarity with software and tools such as Excel, SQL, Bloomberg Terminal, and basic knowledge of machine learning techniques and their applications in finance.

Developing these skills through formal education, self-study, and practical experience (e.g., internships, projects) will prepare you for a career in the quant domain.

If you need further guidance in upskilling in any of these areas or need a clear roadmap on how to prepare and crack Quant roles, please feel free to book a Trial session with me. Please check my Linkedin profile for your reference. 

If you would like to proceed, please let me know, and we can schedule our first free trial session at Preplaced.

Hi Archikana,

To become a Quantitative Research Analyst, you need to have a strong foundation in mathematics, statistics, finance, and computer programming. It is not 'necessary' to have a degree in maths or physics or economics to land a Quant job. But you should be willing to upskill in these areas and have good analytical skills. Here are the basic skills and knowledge areas you'll need to get started:

1. Mathematics - Probability Statistics, Linear Algebra, Calculus, Partial Differential Equations and Stochastic Calculus.

2. Finance and Markets - A solid understanding of financial instruments, asset classes, and how financial markets operate is crucial.

Risk Management - Knowledge of risk metrics such as Value at Risk (VaR) and techniques for portfolio management and hedging strategies.

3. Programming - Languages like C++, Python or R. Good working knowledge of data structures and algorithms. Libraries like numpy, pandas, scikit-Learn etc.

4. Financial Modeling - Derivative Pricing Models (for option pricing), Monte Carlo Simulation etc.

5. Econometrics - Regression Analysis and Time Series Analysis

6. Data Analysis and Data Manipulation - Proficiency in acquiring, cleaning, and analyzing financial data from various sources, including market data feeds and APIs.

7. Quantitative Tools and Platforms - Familiarity with softwares like Bloomberg Terminal or MATLAB.

8. Portfolio Management and Trading - Understanding of concepts like portfolio optimization, option pricing, risk assessment, and trading strategies.

9. Machine Learning (Optional but Trending) - Now-a-days most of the hedge funds have started using Machine Learning for algorithmic trading.

10. Problem Solving skills and Strong analytical skills.

If you need further guidance in upskilling in any of these areas or need a clear roadmap on how to prepare and crack Quant roles, please feel free to book a Trial session with me. I am specialized in Quant roles mentorship at Preplaced. https://www.preplaced.in/profile/nikita-singh-89