Job Description
Are you ready to shape the future of high-frequency trading and risk management? Apex Global Capital is seeking a Senior Financial Quantitative Analyst to join our elite strategy team in the heart of the Financial District. You will leverage cutting-edge machine learning models and big data to optimize our portfolio performance and drive institutional-grade investment decisions.
We offer a collaborative culture that rewards intellectual curiosity and technical rigor. If you are a problem-solver who thrives in a high-stakes, fast-paced environment, we want to hear from you.
Responsibilities
- Develop and backtest sophisticated algorithmic trading strategies using Python and C++.
- Maintain and optimize risk management frameworks for multi-asset class portfolios.
- Collaborate with data engineers to improve data pipeline latency and integrity.
- Conduct deep-dive statistical analysis on market microstructure and volatility patterns.
- Present quantitative findings to executive leadership to influence capital allocation strategies.
- Mentor junior analysts on best practices for quantitative modeling and programming.
Qualifications
- Master’s degree or PhD in Financial Engineering, Mathematics, Physics, or Computer Science.
- 5+ years of professional experience in quantitative research or algorithmic trading within a major financial institution.
- Expert-level proficiency in Python (Pandas, NumPy, Scikit-learn) and C++.
- Deep understanding of stochastic calculus, probability theory, and time-series analysis.
- Strong track record of implementing scalable machine learning models in production environments.
- Excellent communication skills with the ability to translate complex data into actionable business insights.