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Finance 🏢 Full Time ⭐️ Verified

Senior Quantitative Analyst

Apex Global Markets
London
Salary Estimate
GBP 85.000 – GBP 110.000
Live Update
31 Mei 2026
Deadline
31 Mei 2027

Job Description

Join the elite quantitative team at Apex Global Markets, a leading institution at the forefront of financial innovation. We are looking for a highly analytical and driven Senior Quantitative Analyst to design and implement sophisticated models that drive our trading strategies and risk management frameworks. If you are passionate about deciphering complex market dynamics and possess a knack for predictive analytics, we want to hear from you.

As a key member of our team, you will bridge the gap between theoretical finance and practical application, ensuring our proprietary algorithms remain robust in volatile environments. You will work alongside world-class engineers and traders to deliver insights that directly impact our bottom line and risk exposure.

Responsibilities

  • Develop, test, and deploy advanced quantitative models for derivatives pricing and risk assessment.
  • Perform rigorous statistical analysis to interpret market trends and forecast volatility.
  • Collaborate with the trading floor to optimize execution strategies and hedge portfolio risk.
  • Design and maintain real-time data pipelines to ensure high-fidelity input for analytical models.
  • Present complex quantitative findings to senior management and stakeholders in a clear, actionable format.
  • Stay abreast of regulatory changes and financial market developments to adapt models accordingly.
  • Conduct code reviews and mentor junior analysts and developers on best practices in computational finance.

Qualifications

  • Master’s or PhD degree in Mathematics, Physics, Statistics, Finance, or a related quantitative field.
  • Minimum of 5 years of experience in quantitative analysis, financial modeling, or risk management within a top-tier investment bank or hedge fund.
  • Proficiency in programming languages such as Python, C++, R, or MATLAB with a strong understanding of numerical libraries.
  • Deep knowledge of stochastic calculus, time-series analysis, and machine learning algorithms.
  • CFA or FRM certification is highly preferred.
  • Exceptional problem-solving skills and the ability to work under pressure in a fast-paced environment.
  • Strong communication skills with the ability to translate technical concepts to non-technical audiences.

Required Skills

Python R C++ SQL Machine Learning Financial Modeling Risk Management Stochastic Calculus Time Series Analysis

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