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    Job · 16192540

    Nexus Equity Growth Fund logo

    Quantitative Analyst

    Nexus Equity Growth Fund · Ahmedabad · onsite · Posted 44d ago

    Undisclosed0–5 yrsfulltimeSourced fromNaukri

    About a minute. You'll make an account on the way through.

    About this role

    Quantitative Analyst

    Location: Ahmedabad, Gujarat | Experience: 2-5 years | Function: Investment Research-Quantitative

    About the Role

    We are a Category III Alternative Investment Fund with a long-only, long-term investment philosophy. We are looking for a Quantitative Analyst to serve as the bridge between fundamental research and quantitative analysis - someone who pairs disciplined use of tools like the Bloomberg Terminal with sound investment judgment to sharpen ideas and support long-term, high-conviction decisions.

    Key Responsibilities

    • Partner with the fundamental team to strengthen the investment process through data-driven analysis and screening.
    • Build and maintain models and dashboards tracking portfolio companies, sectors, and market signals.
    • Source, clean, and structure datasets; write efficient queries to extract accurate insight.
    • Deliver timely, well-communicated updates on markets and holdings, and generate new ideas to optimise long-term returns.
    • Apply derivatives where relevant for hedging, risk management, and efficient positioning alongside the core long-only book.
    • Support portfolio monitoring, performance attribution, and risk analysis from a quantitative lens.

    Requirements

    • 25 years in quantitative research, equity research, or investment analytics, preferably within a fund or asset management setup.
    • Proficiency with the Bloomberg Terminal for data retrieval and analysis.
    • Proven ability to run datasets and write efficient queries.
    • Sound understanding of equity markets and company/sector fundamentals, with working familiarity of derivatives (pricing, Greeks, options and futures).
    • Strong grounding in statistics and a structured, hypothesis-driven approach.
    • Programming ability (Python or equivalent) and clear, concise communication.

    Preferred Qualifications

    • CMT designation, or another relevant qualification (CFA, FRM, or a postgraduate degree in a quantitative or financial discipline).
    • Experience bridging fundamental and quantitative research in a long-only or long-term context.

    Attributes

    Intellectually curious, detail-oriented, and self-driven a strong idea generator who works well within a small, collaborative team and exercises discretion with confidential information.


    Sourced from naukri

    Skills

    Derivatives TradingEquity MarketQuantitativeEquityEquity Trading

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