Job Description
Are you ready to shape the future of high-frequency trading and algorithmic portfolio management? Summit Horizon Capital is seeking a top-tier Senior Financial Quantitative Analyst to join our elite strategies team in the heart of New York's Financial District.
We are looking for a visionary expert who thrives on solving complex mathematical puzzles and transforming raw data into actionable financial market alpha. If you possess a relentless drive for innovation and a deep understanding of stochastic calculus and machine learning, we want to hear from you.
Responsibilities
- Develop, test, and implement robust quantitative pricing and risk management models.
- Collaborate with engineering teams to integrate alpha-generating strategies into high-frequency production environments.
- Conduct deep-dive research into market microstructure and identify novel trading opportunities.
- Perform rigorous backtesting on historical datasets to validate strategy performance and risk parameters.
- Monitor live trading performance and execute intraday adjustments to mitigate volatility exposure.
- Mentor junior analysts on best practices in statistical programming and financial modeling.
- Present findings and strategic insights to senior executive stakeholders during quarterly strategy reviews.
Qualifications
- Master’s degree or Ph.D. in Quantitative Finance, Mathematics, Physics, or Computer Science.
- 5+ years of professional experience in quantitative research within a hedge fund or investment bank environment.
- Expert-level proficiency in Python, C++, and R for financial analysis and modeling.
- Deep understanding of derivative pricing, stochastic processes, and time-series analysis.
- Proven track record of developing successful trading strategies from conception to production.
- Experience utilizing machine learning frameworks such as PyTorch or TensorFlow for predictive modeling.
- Exceptional analytical mindset with the ability to communicate complex data findings to non-technical stakeholders.