Job Description
Are you ready to redefine the future of algorithmic trading and risk assessment? Summit Horizon Capital is seeking a high-caliber Senior Financial Quantitative Analyst to join our elite team in the heart of Manhattanâs financial district. You will work at the intersection of complex mathematics, data science, and global market dynamics to deliver actionable insights that drive our competitive edge.
We offer a sophisticated, collaborative environment where your models directly influence multi-million dollar portfolios. If you are a problem-solver who thrives on high-stakes challenges, we invite you to advance your career with a firm that values innovation and technical excellence.
Responsibilities
- Develop, test, and implement advanced quantitative models for pricing derivatives and risk management.
- Collaborate with Portfolio Managers to translate complex investment strategies into automated execution algorithms.
- Conduct rigorous backtesting of trading strategies using high-frequency historical market data.
- Monitor and optimize existing financial models to ensure performance remains robust across varying market conditions.
- Perform deep-dive statistical analysis to identify new alpha-generating signals.
- Provide technical mentorship to junior analysts and contribute to internal research documentation.
- Ensure full compliance with all regulatory frameworks and institutional risk management protocols.
Qualifications
- Masterâs degree or PhD in Financial Engineering, Quantitative Finance, Mathematics, Physics, or a related field.
- Minimum of 5 years of experience in quantitative analysis within a top-tier investment bank, hedge fund, or asset management firm.
- Expert-level proficiency in Python, C++, and R with a focus on high-performance computing.
- Solid understanding of stochastic calculus, econometrics, and modern portfolio theory.
- Experience working with large-scale time series datasets and SQL/NoSQL databases.
- Demonstrated ability to communicate complex quantitative findings to non-technical stakeholders.
- Strong problem-solving mindset with the ability to handle ambiguity in fast-paced market environments.