Jobs

    Data Science Focused Quant Researcher - Singapore - TECHNOLOGY SERVICES GROUP PTE. LTD.

    TECHNOLOGY SERVICES GROUP PTE. LTD.
    TECHNOLOGY SERVICES GROUP PTE. LTD. Singapore

    6 days ago

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    Description
    Roles & Responsibilities

    We are a leading AI-driven quantitative fund seeking to strengthen our systematic team with a Data Science Focused Quant Researcher. This role involves leveraging advanced data science and machine learning capabilities to innovate and refine trading strategies within the financial markets.

    Role Responsibilities:

    • Collaborate with Portfolio Managers and other AI specialists to conduct robust quantitative research. This includes developing, testing, and deploying various machine learning and statistical models.
    • Employ sophisticated data science techniques to extract actionable insights from vast and diverse datasets, integrating these insights into financial models.
    • Utilize scientific methods to create advanced trading models, contributing to predictive analytics regarding market movements.
    • Implement machine learning algorithms across extensive datasets to enhance model effectiveness and financial strategies.

    Requirements:

    • Advanced degree (Master's/PhD) in Mathematics, Physics, Financial Engineering, Computer Science, or Statistics, with a strong focus on Machine Learning.
    • Proven experience handling large datasets and applying machine learning techniques to real-world problems.
    • Expertise in areas such as deep learning, reinforcement learning, non-convex optimization, Bayesian non-parametrics, natural language processing, or approximate inference.
    • Publications in top-tier conferences like NeurIPS, ICML, ICLR, etc., are highly preferred.
    • Proficiency in high-performance programming languages, ideally C++ or similar.
    • Demonstrated excellence in quantitative analysis or competitions (e.g., Kaggle, hackathons, mathematical olympiads).
    • Practical experience in implementing machine learning algorithms in a professional setting.
    • Open to candidates transitioning from tech to finance, or current finance professionals with a strong machine learning background.
    Tell employers what skills you have

    Machine Learning
    Quantitative Research
    Financial Engineering
    Natural Language Processing
    Physics
    Mathematics
    Quantitative Analysis
    Predictive Analytics
    Trading Strategies
    Statistics
    Publications
    Data Science
    C++
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