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Quantitative analysts in NYC use math and stats for financial data and trading strategies. They work at hedge funds and investment banks. They create pricing and risk models. Some banks use AI for hiring but caution applicants against using it in interviews.
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A quantitative analyst in New York City, or "quant," uses math and statistics to analyze financial data. They support trading strategies. They mainly work in finance, at places like hedge funds and investment banks. They also create and use pricing and risk management models.
You need strong skills in math, programming (like Python and R), and financial theory. You also need experience with data analysis and risk management tools. Many quants have a master's degree or Ph.D. in a quantitative field such as math, statistics, computer science, or financial engineering.