Quantitative Analyst

Nexus Equity Growth Fund; Ahmedabad District; On-site; INR 900,000 - 1,400,000; Full time

Job summary

Nexus Equity Growth Fund in Ahmedabad, Gujarat, is seeking a Quantitative Analyst to bridge fundamental research and quantitative analysis, leveraging Bloomberg Terminal tools to sharpen ideas and support long-term, high-conviction decisions.

You will build models and dashboards that track portfolio companies, sectors, and market signals; source and structure data, and write efficient queries to extract insights. Strong Python skills and a solid grasp of derivatives are essential.

Qualifications

• 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.

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.

Skills

Python

Bloomberg Terminal

SQL/Queries

Statistics

Communication

Derivatives

Equity Markets

Education

CFA

FRM

Postgraduate degree in quantitative/financial discipline

Tools

Bloomberg Terminal

SQL

Job description

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.