Job Description
Are you ready to shape the future of high-frequency financial modeling? Summit Horizon Capital is seeking a sharp, driven Senior Financial Quantitative Analyst to join our elite trading division in the heart of Manhattan. In this role, you will leverage advanced mathematical frameworks and machine learning to optimize portfolio strategies in a fast-paced, high-stakes environment.
We foster a culture of intellectual rigor, transparency, and innovation. If you are passionate about complex problem solving and want to influence global capital markets, we invite you to apply.
Responsibilities
- Develop, test, and deploy robust quantitative pricing models for multi-asset derivatives.
- Perform deep-dive analysis on market microstructures to identify actionable alpha signals.
- Collaborate with engineering teams to integrate algorithmic strategies into our proprietary execution platform.
- Conduct rigorous back-testing and risk assessment for all new automated trading strategies.
- Maintain comprehensive documentation on quantitative methodologies and model assumptions.
- Monitor live portfolio performance and execute necessary adjustments to mitigate market volatility risks.
Qualifications
- Master's degree or Ph.D. in Financial Engineering, Mathematics, Physics, or Computer Science.
- Minimum of 5 years of experience in quantitative research or algorithmic trading within a Tier-1 financial institution.
- Expert-level proficiency in Python, C++, and R for financial computing.
- Deep understanding of stochastic calculus, time-series analysis, and econometrics.
- Experience working with large-scale datasets and SQL/NoSQL databases.
- Proven track record of successfully implementing profitable trading strategies in live production environments.