Job Description
Are you ready to architect the future of algorithmic trading? Summit Horizon Capital is seeking a high-caliber Senior Financial Quantitative Analyst to join our elite team in the heart of New York City. We bridge the gap between complex mathematical modeling and market-moving financial strategy.
As a key member of our Quantitative Research division, you will leverage high-frequency data to optimize portfolio performance and risk management frameworks. If you thrive on solving complex puzzles in a high-stakes environment, we want to hear from you.
Responsibilities
- Develop, test, and implement advanced mathematical models for pricing and risk assessment.
- Collaborate with engineering teams to integrate quantitative strategies into our automated trading platforms.
- Conduct deep-dive research on market anomalies to identify alpha-generating opportunities.
- Perform rigorous back-testing of trading algorithms to ensure robustness and profitability.
- Monitor live trading activity to manage exposures and mitigate operational risk.
- Communicate findings and strategic recommendations to senior stakeholders and portfolio managers.
- Mentor junior analysts in best practices for data science and quantitative methodologies.
Qualifications
- Master’s or PhD degree in Quantitative Finance, Mathematics, Physics, or Computer Science.
- Minimum 5 years of professional experience in a quantitative role within banking or asset management.
- Expert-level proficiency in Python, C++, or R.
- Deep understanding of stochastic calculus, probability theory, and time-series analysis.
- Demonstrated experience working with large-scale financial datasets.
- Strong problem-solving skills with a creative approach to financial engineering.
- Ability to thrive in a fast-paced, high-performance financial environment.