Our client, a leading financial institution headquartered in San Jose, California, US , is seeking a brilliant Quantitative Analyst with a specialization in derivatives to join their sophisticated trading and risk management division. This role is ideal for a highly analytical individual with a passion for financial markets and advanced mathematical modeling. You will be responsible for developing, testing, and implementing complex pricing models for a wide range of derivative products, including options, futures, and swaps. This involves rigorous statistical analysis, data mining, and the creation of robust algorithms to support trading strategies and risk assessment. You will collaborate closely with traders, portfolio managers, and risk officers to provide quantitative insights and solutions that drive profitability and mitigate exposure. Key responsibilities include performing back-testing of trading models, identifying market inefficiencies, and contributing to the development of new financial instruments. The successful candidate must possess a Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, or Financial Engineering. A minimum of three years of relevant experience in quantitative finance, with a strong focus on derivatives pricing and risk management, is essential. Advanced programming skills in languages like Python, C++, or R are a must, along with a deep understanding of stochastic calculus, time-series analysis, and numerical methods. Familiarity with financial markets and regulatory frameworks is also crucial. This role, while based operationally in San Jose , offers the flexibility of being fully remote, allowing top talent to contribute from anywhere. If you thrive on complex challenges and possess a strong quantitative acumen, this is an exceptional opportunity to make a significant impact in the world of finance.