Job Description
Join Apex Global Capital in our New York headquarters to spearhead sophisticated quantitative modeling initiatives. We are seeking a high-caliber Financial Quantitative Analyst to bridge the gap between complex mathematical theory and actionable market strategies. You will work alongside industry leaders to optimize portfolios and manage risk in a high-stakes, fast-paced banking environment.
This role offers unparalleled exposure to global markets, a collaborative culture that values innovation, and a compensation package designed to attract the industry's elite talent.
Responsibilities
- Develop and maintain advanced stochastic models for derivatives pricing and risk management.
- Collaborate with the trading desk to translate complex market data into profitable investment strategies.
- Perform rigorous back-testing of algorithmic trading models to ensure robustness under market volatility.
- Monitor and analyze real-time market trends to provide data-driven insights to executive stakeholders.
- Automate manual reporting processes using Python to improve operational efficiency.
- Ensure full compliance with regulatory standards and internal risk management protocols.
- Provide mentorship to junior analysts and foster a data-centric culture within the department.
Qualifications
- Master’s degree or PhD in Quantitative Finance, Mathematics, Physics, or Computer Science.
- Minimum 5+ years of experience in quantitative finance or algorithmic trading.
- Expert-level proficiency in Python, C++, and SQL; experience with R is a plus.
- Deep understanding of derivative pricing models (e.g., Black-Scholes, Monte Carlo simulations).
- Strong command of statistical analysis tools and machine learning libraries (e.g., Scikit-learn, TensorFlow).
- Excellent communication skills with the ability to articulate complex concepts to non-technical stakeholders.
- Professional certification such as CFA, FRM, or PRM is highly preferred.