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Finance 🏢 Full Time ⭐️ Verified

Senior Financial Quantitative Analyst

Apex Global Capital
New York
Salary Estimate
USD 160.000 – USD 210.000
Live Update
18 Mei 2026
Deadline
18 Mei 2027

Job Description

Are you ready to shape the future of high-frequency trading and algorithmic risk management? Apex Global Capital is seeking a top-tier Senior Financial Quantitative Analyst to join our elite team in New York City. You will leverage sophisticated mathematical models to drive investment decisions and optimize our portfolio performance in a fast-paced environment.

We offer a collaborative culture, cutting-edge technology stacks, and the opportunity to solve the most complex challenges in modern finance.

Responsibilities

  • Develop and maintain advanced pricing models for complex financial derivatives.
  • Analyze large-scale market data sets to identify alpha-generating opportunities.
  • Collaborate with engineering teams to deploy algorithmic trading strategies.
  • Perform rigorous stress testing and risk assessment for multi-asset portfolios.
  • Automate reporting workflows to increase operational efficiency.
  • Provide quantitative support to the Portfolio Management team during high-volatility events.
  • Mentor junior analysts on stochastic calculus and numerical methods.

Qualifications

  • Advanced degree (Masters or PhD) in Financial Engineering, Mathematics, Physics, or Computer Science.
  • 5+ years of experience in quantitative research within a top-tier investment bank or hedge fund.
  • Expert-level proficiency in Python, C++, and SQL.
  • Deep understanding of stochastic processes, econometrics, and machine learning techniques.
  • Proven track record of building and maintaining production-level financial models.
  • Strong problem-solving skills with the ability to communicate complex concepts to non-technical stakeholders.
  • Ability to work efficiently under pressure in a collaborative, team-oriented atmosphere.

Required Skills

Python C++ Financial Modeling Stochastic Calculus Econometrics Machine Learning Data Analysis Risk Management

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