To become a quant researcher at a big fund like Square Point, in addition to your existing skills, you may need to gain expertise in the following areas:
1. Mathematics: You should have a strong understanding of advanced mathematics such as calculus, probability theory, linear algebra, and numerical optimization. A strong foundation in these areas is essential for understanding the quantitative models that drive the financial industry.
2. Finance: You should have a deep understanding of finance concepts such as financial instruments and markets, trading strategies, portfolio optimization, and risk management.
3. Data Analysis: You should have experience in data analysis and statistical modeling, including time-series analysis, regression analysis, and other machine learning techniques.
4. Programming: While Python is widely used in the industry, knowledge of other languages such as R and MATLAB can also be useful, particularly for running complex simulations. Experience with data visualization tools such as Tableau or Power BI can also be beneficial.
5. Communication: You will need to be able to communicate complex quantitative concepts to both technical and non-technical audiences.

You may also want to consider obtaining a master's degree in a related field such as financial engineering or computational finance to strengthen your credentials and increase your chances of landing a job at a big fund. Additionally, gaining experience working with financial data, such as through internships or personal projects, can help demonstrate your expertise and enthusiasm for the field.
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