Quantitative Investment Specialist

6 days ago

Muscat, Muscat, Oman beBeeInvestment Full time
Quantitative Investment Specialist

Job Overview:

To support investment decision-making by developing, testing, and maintaining quantitative models and strategies using statistical and mathematical techniques. The Quantitative Investment Specialist will collaborate with portfolio managers, traders, and researchers to identify alpha-generating opportunities and improve risk-adjusted returns.

Key Responsibilities:

  • Model Development: Design, implement, and maintain quantitative models for asset allocation, alpha signals, portfolio optimization, and risk management.
    • AI Integration: Leverage machine learning and AI tools to extract insights from large datasets and improve forecasting accuracy.
      • Data Analysis: Analyze financial, macroeconomic, and alternative data using Python/R, Bloomberg/BQuant tools.
        • Back-testing: Build robust back-testing frameworks for quantitative investment strategies; monitor performance and drawdowns.
          • Research & Insights: Apply advanced statistical techniques, machine learning, and econometric methods to investment research.
            • Automation & Tools: Develop and maintain internal tools and dashboards to support real-time analytics, model updates, and reporting.
              • Collaboration: Work closely with portfolio managers and the investment team to translate quantitative models into actionable investment ideas and create AI-powered investment products.

Requirements:

  • Bachelor's Degree from an accredited institution in Quantitative Finance, Computer Science, Mathematics, Statistics, Engineering, or related field.
  • Master Degree, CQF and CFA will be a plus.

Experience:

  • Minimum 3 years of experience in a quantitative role, preferably within asset management, funds, or investment banks.

Key Skills:

  • Strong programming skills in Python, R, MATLAB, or C++; experience with data visualization and dashboarding tools is an advantage.
  • Solid understanding of financial instruments, market microstructure, and investment theory.
  • Expert use of Bloomberg Terminal, BQuant, and handling of financial APIs and time series data.
  • Hands-on experience applying machine learning techniques to financial problems.
  • Ability to clearly present complex quantitative findings to non-technical stakeholders.

For this role, we are seeking highly motivated and talented professionals who can contribute to our investment strategy.

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