To qualify for a quant researcher position at a big fund like Square Point, you'll need to have a strong foundation in mathematics, statistics, and finance. Here are some additional skills you may need to acquire:

1. Advanced Mathematics: You will need to have a deep understanding of calculus, linear algebra, probability theory, and optimization techniques.

2. Statistical Modeling: You will need to have expertise in statistical modeling and analysis, including time-series analysis, multivariate analysis, and Bayesian statistics.

3. Machine Learning: Knowledge of machine learning algorithms and techniques, including supervised and unsupervised learning, decision trees, random forests, and deep learning, is essential.

4. Financial Markets: You should have a strong understanding of financial markets, including asset pricing, portfolio optimization, risk management, and trading strategies.

5. Communication Skills: You will need to be able to communicate your findings effectively, both verbally and in writing, to colleagues and clients who may not have a technical background.

6. Experience with Financial Data: Experience working with financial data such as stock prices, interest rates, and economic indicators would be an asset.

7. Collaborative Skills: Quantitative research is often done in teams, so you should be able to work collaboratively and contribute your expertise to a team.

To prepare for a position as a quant researcher, you may want to consider pursuing additional education or certifications in areas such as mathematics, statistics, or finance, as well as gaining experience with financial data and machine learning.
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