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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
29 Mei 2026
Deadline
29 Mei 2027

Job Description

Are you ready to architect the future of financial modeling? Apex Global Capital is seeking a high-caliber Senior Financial Quantitative Analyst to join our elite strategies team in the heart of the Financial District. In this role, you will leverage advanced mathematical models to optimize portfolio performance and drive high-stakes decision-making for our institutional clients.

You will work at the intersection of finance, data science, and technology, contributing to sophisticated algorithmic trading strategies and risk management frameworks. If you thrive on complexity and seek to push the boundaries of modern finance, we want to hear from you.

Responsibilities

  • Develop and refine high-frequency quantitative trading models to capture market alpha.
  • Conduct deep-dive statistical analysis on large, multi-dimensional financial datasets.
  • Automate back-testing processes to validate investment hypotheses and strategies.
  • Collaborate with software engineers to optimize code performance and model integration.
  • Monitor market volatility and adjust risk parameters to ensure portfolio stability.
  • Provide actionable insights and technical reports to senior management and stakeholders.
  • Stay at the forefront of financial innovation by researching new machine learning applications.

Qualifications

  • Master’s degree or Ph.D. in Quantitative Finance, Mathematics, Physics, or Computer Science.
  • Minimum of 5 years of experience in quantitative analysis within a top-tier financial institution.
  • Expert-level proficiency in Python, R, and C++.
  • Deep understanding of derivative pricing, stochastic calculus, and time-series analysis.
  • Proven ability to translate complex data findings into high-level business strategy.
  • Strong problem-solving skills and the ability to work under pressure in a fast-paced environment.
  • Familiarity with cloud computing environments (AWS or GCP) and big data tools like SQL/Spark.

Required Skills

Quantitative Analysis Python Financial Modeling Machine Learning Stochastic Calculus Portfolio Management Data Science C++

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