Senior Quantitative Analyst - Investment Banking

Our client, a leading global financial institution, is seeking an accomplished Senior Quantitative Analyst to join their prestigious Banking & Finance division in **Seattle, Washington, US**. This hybrid role offers a dynamic environment where you will apply advanced mathematical and statistical modeling techniques to complex financial instruments and markets. You will be instrumental in developing pricing models, risk management frameworks, and trading strategies. The ideal candidate possesses a strong academic background in a quantitative field, extensive experience in financial modeling, and proficiency in programming languages commonly used in quantitative finance.

Responsibilities:

Develop, implement, and validate sophisticated quantitative models for pricing derivatives, risk assessment, and portfolio optimization. Conduct in-depth market analysis to identify trading opportunities and inform hedging strategies. Collaborate closely with traders, portfolio managers, and risk management teams to provide quantitative support and insights. Program and implement pricing and risk models using languages such as Python, C++, or R. Perform rigorous back-testing and stress-testing of models to ensure their robustness and accuracy. Stay current with the latest developments in financial theory, quantitative methods, and regulatory requirements. Contribute to the development of the firm's quantitative infrastructure and tools. Prepare clear and concise reports and presentations on model performance and research findings. Mentor junior quantitative analysts and contribute to team development. Ensure compliance with all relevant financial regulations and internal policies.

Qualifications:

Master's or Ph.D. in a quantitative field such as Mathematics, Statistics, Physics, Financial Engineering, or Computer Science. Minimum of 5 years of experience in quantitative analysis within investment banking, hedge funds, or asset management. Strong theoretical and practical knowledge of stochastic calculus, time series analysis, econometrics, and numerical methods. Proficiency in programming languages like Python, C++, and R, with experience in relevant libraries (e.g., NumPy, SciPy, Pandas). Experience with financial market data and trading platforms is essential. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and presentation skills, with the ability to explain complex concepts to non-technical audiences. Ability to work effectively in a fast-paced, team-oriented, hybrid work environment. Familiarity with machine learning techniques applied to finance is a plus. Deep understanding of financial products and derivatives. This is an exceptional opportunity for a highly analytical individual to contribute to key financial strategies within the thriving financial sector of **Seattle, Washington, US**. Join a collaborative team dedicated to innovation and excellence.