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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
10 Mei 2026
Deadline
10 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 sharp, data-driven Senior Financial Quantitative Analyst to join our elite team in the heart of New York City. You will leverage cutting-edge machine learning models and sophisticated statistical analysis to drive investment strategies and optimize portfolio performance for our institutional clients.

We offer a collaborative culture that values intellectual curiosity, rigorous technical standards, and high-impact innovation. Join us to transform raw data into market-leading financial solutions.

Responsibilities

  • Develop, test, and deploy robust quantitative models for asset pricing and risk assessment.
  • Analyze large-scale financial datasets to identify alpha-generating market trends.
  • Collaborate with engineering teams to integrate models into high-performance execution platforms.
  • Perform rigorous back-testing to ensure strategy efficacy under varying market conditions.
  • Provide actionable insights and data-backed reports to senior investment committees.
  • Monitor model performance and implement proactive adjustments to mitigate financial risk.
  • Maintain comprehensive documentation for all quantitative methodologies and research findings.

Qualifications

  • Master’s or Ph.D. in Quantitative Finance, Mathematics, Physics, or Computer Science.
  • 5+ years of experience in quantitative analysis within the financial services or hedge fund sector.
  • Advanced proficiency in Python, R, or C++ for financial modeling.
  • Deep understanding of stochastic calculus, probability theory, and statistical econometrics.
  • Proven track record of deploying predictive models in a production environment.
  • Strong problem-solving skills with the ability to communicate complex data concepts to non-technical stakeholders.
  • Experience with cloud computing platforms (AWS/GCP) for big data processing.

Required Skills

Quantitative Analysis Python Machine Learning Financial Modeling Stochastic Calculus Risk Management Data Engineering

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