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 New York City. You will be instrumental in developing sophisticated financial models and driving data-informed decisions that shape our global investment strategy.
We offer a collaborative, high-performance culture that rewards innovation, intellectual rigor, and technical excellence. If you are a problem-solver who thrives at the intersection of mathematics, finance, and software engineering, we want to hear from you.
Responsibilities
- Develop, test, and implement complex mathematical models for derivative pricing and risk management.
- Collaborate with portfolio managers to enhance trading strategies using advanced statistical analysis and machine learning.
- Execute rigorous back-testing of quantitative investment hypotheses against historical market data.
- Automate reporting workflows to provide real-time insights into market volatility and liquidity risk.
- Monitor market conditions to identify potential arbitrage opportunities and hedging efficiencies.
- Participate in peer-review processes to maintain high standards of model integrity and documentation.
Qualifications
- Advanced degree (Master's or Ph.D.) in Financial Engineering, Quantitative Finance, Mathematics, or Physics.
- Minimum of 5 years of experience in quantitative research or high-frequency trading within the banking sector.
- Expert-level proficiency in Python, C++, or R.
- Deep understanding of stochastic calculus, time-series analysis, and econometrics.
- Proven ability to synthesize massive datasets into actionable investment strategies.
- Strong communication skills with the ability to articulate complex concepts to non-technical stakeholders.
- Experience with cloud infrastructure (AWS/Azure) for big data processing is highly preferred.