Job Description
Are you a highly analytical and driven quantitative professional looking to make a significant impact in the financial markets? Evergreen Capital Partners, a leading global financial institution, is seeking a visionary Senior Quantitative Analyst to join our dynamic team in the heart of New York City.
At Evergreen, we thrive on innovation and leverage cutting-edge quantitative techniques to drive superior investment performance and robust risk management. As a Senior Quantitative Analyst, you will be at the forefront of developing sophisticated models, conducting in-depth research, and providing actionable insights that directly influence strategic decisions across various asset classes.
This is an unparalleled opportunity to work alongside industry veterans, contribute to complex challenges, and shape the future of finance in a collaborative and intellectually stimulating environment. If you possess a profound understanding of financial mathematics, strong programming skills, and a passion for uncovering hidden opportunities in data, we invite you to explore this pivotal role.
Responsibilities
- Develop, validate, and implement advanced quantitative models for pricing, risk management, portfolio optimization, and algorithmic trading strategies across diverse asset classes.
- Conduct rigorous statistical analysis and empirical research on financial data to identify patterns, anomalies, and potential alpha-generating opportunities.
- Collaborate closely with traders, portfolio managers, and risk officers to integrate quantitative insights into practical trading and investment decisions.
- Enhance existing quantitative libraries and infrastructure, ensuring robustness, efficiency, and scalability.
- Translate complex quantitative concepts into clear, concise, and actionable recommendations for non-technical stakeholders.
- Stay abreast of industry trends, academic research, and regulatory changes in quantitative finance and financial technology.
- Mentor junior quantitative analysts, fostering a culture of continuous learning and analytical excellence.
Qualifications
- Master's or Ph.D. in a quantitative field such as Financial Engineering, Mathematics, Physics, Computer Science, or Statistics.
- 5+ years of relevant experience in quantitative analysis within a financial services environment (e.g., investment bank, hedge fund, asset manager).
- Expert proficiency in Python (NumPy, Pandas, SciPy), R, or C++ for quantitative modeling and data analysis.
- Strong understanding of financial markets, derivatives, fixed income, equities, and portfolio theory.
- Proven experience with statistical modeling, machine learning techniques, and time-series analysis.
- Familiarity with financial data platforms (e.g., Bloomberg, Refinitiv) and database technologies (SQL).
- Excellent communication skills, with the ability to articulate complex quantitative concepts to diverse audiences.
- Demonstrated problem-solving abilities and a meticulous attention to detail.