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Quantitative Analyst

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Onsite

Quantitative Analyst

Nexus Equity Growth Fund

Quantitative Analyst

Skills

Data MiningPythonData AnalysisRisk Management

2 months ago

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Important information


Contract type:

Permanent

Location:

Ahmedabad, Gujarat, India

Work mode:

Onsite

Published on:

7 September 2026

What they need


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.

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