Job Description
Are you ready to shape the future of high-frequency trading and algorithmic risk management? Apex Global Capital is seeking a sharp, data-driven Senior Financial Quantitative Analyst to join our elite team in the heart of NYC's Financial District. You will play a pivotal role in developing sophisticated pricing models, identifying market inefficiencies, and providing actionable insights that drive our competitive edge in global markets.
We offer a collaborative culture that prizes intellectual rigor, technical autonomy, and long-term career growth.
Responsibilities
- Develop, test, and implement complex mathematical models for asset pricing and risk assessment.
- Analyze large-scale financial datasets to uncover trends, anomalies, and trading opportunities.
- Collaborate with engineering teams to integrate quantitative strategies into our proprietary execution platforms.
- Monitor market volatility and perform stress testing on portfolios to ensure institutional compliance.
- Present data-backed strategic recommendations to senior stakeholders and portfolio managers.
- Optimize existing automated trading algorithms for latency, throughput, and performance.
Qualifications
- Master’s degree or PhD in Mathematics, Physics, Quantitative Finance, or Computer Science.
- 5+ years of experience in quantitative research, risk management, or algorithmic trading.
- Expert-level proficiency in Python, R, or C++ for financial modeling.
- Deep understanding of stochastic calculus, econometrics, and derivatives pricing.
- Proven ability to manipulate and extract insights from high-frequency time-series data.
- Strong communication skills with the ability to distill complex technical concepts for non-technical leadership.
- Experience with cloud computing environments (AWS/Azure) is highly preferred.