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I have completed a Computer Science degree at a university and worked as a Data Scientists for two years at a start-up. I can code in C, C++, and Python. The latter is the one I use at work. I want to work at a big fund like Square Point as a quant researcher. What additional skills do I need to gain in order to qualify for such position?

{"text":"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:\n1. 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.\n2. Finance: You should have a deep understanding of finance concepts such as financial instruments and markets, trading strategies, portfolio optimization, and risk management.\n3. Data Analysis: You should have experience in data analysis and statistical modeling, including time-series analysis, regression analysis, and other machine learning techniques.\n4. 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.\n5. Communication: You will need to be able to communicate complex quantitative concepts to both technical and non-technical audiences.\n\nYou 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.","dsl":{}}

I want you to ask me specific questions to judge my expertise in these areas, and then create a learning plan for me to become proficient in them at a high level based on the deficiencies that you've identified.

{"text":"Alright, here are some questions:\n1. Mathematics:\n    a) Suppose x and y satisfy the differential equation dy=0.01y(100-y)dx. Solve for y as a function of x if y is 20 when x is 0, then use the answer to find y when x = 3 and x when y = 80.\n    b) Prove that AB and BA have the same eigenvalues if A and B are square matrices.\n2. Finance:\n    a) Explain the reasoning behind the popular 'rule of 72'.\n    b) Explain the concept of an indifference curve.\n3. Data Analysis:\n    a) If a normally distributed variable has a mean of 90 and a standard deviation of 10, what is the probability a randomly chosen value is between 100 and 110?\n    b) Two dice with the same number of sides are thrown several times. The products of their spins are 10, 28, 27, 50, 18, 8, 4, 1, 80, and 14. How many sides do they most likely have?\n4. Programming:\n    a) Write a MATLAB program to simulate a group of particles acting under the influence of each other's gravity.\n    b) Write an R program to solve for the roots of any polynomial.\n5. Communication:\n    a) Explain the motivations for diversifying one's portfolio.\n    b) Explain why actively managed funds are unlikely to perform better than passively managed ones.\nI hope these questions are a helpful start for identifying your deficiencies. I can generate more if you like.","dsl":{}}