Principal Quantitative Analyst - Fintech

Our client, a leading financial institution, is searching for a distinguished Principal Quantitative Analyst to contribute to their sophisticated analytics team in San Diego, California, US . This role requires a deep expertise in developing and implementing complex financial models, risk management frameworks, and data-driven strategies. You will be responsible for designing, building, and validating quantitative models for pricing, trading, risk assessment, and portfolio optimization. The ideal candidate possesses a strong background in financial engineering, econometrics, statistics, and programming languages such as Python, R, or C++. You will collaborate with traders, portfolio managers, and risk officers to identify analytical needs and deliver actionable insights. Responsibilities include researching new methodologies, conducting rigorous backtesting, and ensuring the accuracy and reliability of all model outputs. This position demands a thorough understanding of various financial instruments, derivatives, and market dynamics. You will also play a key role in regulatory compliance, ensuring that models meet stringent industry standards. This hybrid role allows for flexibility, with a requirement for 2-3 days per week in our San Diego, California, US office. You should be adept at communicating complex quantitative concepts to both technical and non-technical audiences. Mentoring junior analysts and contributing to the team's intellectual capital through innovation and knowledge sharing are expected. A PhD or Master's degree in a quantitative field such as Finance, Mathematics, Statistics, Physics, or Engineering is highly preferred. Proven experience in a similar role within investment banking, hedge funds, or asset management is essential. The ability to work independently, manage challenging projects, and deliver high-quality results under pressure is critical. You will be at the forefront of quantitative innovation in the financial sector.