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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
Latest
Live Update
24 Mei 2026
Deadline
24 Mei 2027

Job Description

Are you ready to shape the future of high-frequency trading and algorithmic risk assessment? Apex Global Capital is seeking a visionary Senior Financial Quantitative Analyst to join our elite strategy team in the heart of the Financial District. In this role, you will leverage cutting-edge data science and financial modeling to drive institutional investment decisions.

We offer a collaborative culture that values intellectual curiosity, rigorous analysis, and technical excellence. If you are a quantitative powerhouse looking to make an impact at a Tier-1 financial institution, we want to hear from you.

Responsibilities

  • Develop and maintain advanced mathematical models for portfolio optimization and risk hedging.
  • Analyze large-scale financial datasets to identify alpha-generating trends and market inefficiencies.
  • Collaborate with engineering teams to deploy low-latency trading strategies into production environments.
  • Conduct rigorous back-testing and performance attribution analysis for diverse asset classes.
  • Provide actionable insights and quantitative guidance to senior portfolio managers and executive stakeholders.
  • Stay at the forefront of financial market developments and regulatory shifts impacting quantitative trading.

Qualifications

  • Master’s degree or PhD in Financial Engineering, Mathematics, Physics, or Computer Science.
  • 5+ years of experience in quantitative finance, algorithmic trading, or institutional asset management.
  • Expert-level proficiency in Python, C++, and R for financial modeling and data manipulation.
  • Strong working knowledge of stochastic calculus, probability theory, and time-series econometrics.
  • Experience with SQL and cloud-based big data infrastructure (AWS/Azure/GCP).
  • Proven ability to communicate complex quantitative concepts to non-technical stakeholders.
  • Excellent problem-solving skills and a track record of thriving in fast-paced financial environments.

Required Skills

Quantitative Finance Python C++ Algorithmic Trading Financial Modeling Data Science Stochastic Calculus Risk Management

Ready to Take on This Challenge?

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