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Finance 🏢 Full Time ⭐️ Verified

Senior Quantitative Financial Analyst

Apex Capital Management
New York
Salary Estimate
USD 165.000 – USD 210.000
Live Update
30 Mei 2026
Deadline
30 Mei 2027

Job Description

Are you a high-caliber finance professional with a passion for quantitative analysis and algorithmic strategy? Apex Capital Management, a leading global asset manager with over $12B AUM, is looking for a Senior Quantitative Financial Analyst to join our elite investment team in New York.

In this role, you will bridge the gap between complex quantitative modeling and real-world portfolio execution. You will work alongside world-class portfolio managers, leveraging predictive analytics, machine learning, and advanced statistical modeling to drive alpha generation. We offer an environment that thrives on intellectual curiosity, cutting-edge technology, and collaborative execution.

Responsibilities

  • Design, backtest, and implement sophisticated quantitative models to optimize asset allocation and risk-adjusted returns.
  • Collaborate with portfolio managers to research, develop, and deploy alpha-generating systematic trading strategies.
  • Construct and maintain robust risk management frameworks to monitor portfolio exposure across equity and derivative markets.
  • Extract, clean, and analyze unstructured alternative data sets to identify actionable market inefficiencies.
  • Automate high-frequency reporting pipelines and performance attribution metrics using Python and SQL.
  • Present quantitative research findings and tactical investment recommendations to the Investment Committee.

Qualifications

  • Master's or PhD in Quantitative Finance, Mathematics, Statistics, Computer Science, or a highly related quantitative field.
  • Minimum of 5 years of professional experience as a Quant Analyst or Portfolio Researcher in buy-side asset management or hedge funds.
  • Advanced proficiency in Python (including Pandas, NumPy, Scikit-Learn) and robust SQL database querying skills.
  • Strong theoretical and practical understanding of multi-factor modeling, risk forecasting, and portfolio optimization techniques.
  • Excellent communication skills with the ability to explain complex statistical concepts to non-technical stakeholders.
  • CFA (Chartered Financial Analyst) charterholder designation is highly preferred.

Required Skills

quantitative finance python portfolio optimization statistical modeling machine learning asset management SQL multi-factor models

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