Quantitative Analyst HFT Talent

The Corporate Institute; Gurgaon; On-site; INR 700,000 - 1,100,000; Full time

Job summary

The Corporate Institute in Gurgaon is seeking a detail-oriented Quantitative Portfolio Analyst to support our portfolio management team. You will analyze portfolio performance, monitor risks, and enhance operational efficiency, working closely with portfolio managers and technologists to ensure smooth execution and continual improvement of strategies.

You will automate reporting, monitoring tools, and data workflows to increase efficiency, assist in performance attribution, and contribute to

Qualifications

• Bachelor’s degree in Mathematics, Statistics, Computer Science, Financial Engineering, or related quantitative field.
• CGPA of 8.0 or above; JEE Main/Advance or equivalent exams preferred.
• Strong Python (NumPy, Pandas, SciPy) proficiency.

Responsibilities

• Conduct quantitative analysis of portfolio performance and risk exposures.
• Monitor and evaluate existing quantitative trading strategies and ensure their effective execution.
• Perform data analysis on large financial datasets to identify anomalies, inefficiencies, or operational risks.
• Automate reporting, monitoring tools, and data workflows to improve efficiency.
• Assist in performance attribution and generation of periodic portfolio reports.
• Collaborate with the technology team to enhance infrastructure for trading, monitoring, and reporting.
• Ensure compliance with internal risk management frameworks and operational guidelines.

Skills

Python (NumPy, Pandas, SciPy)

Quantitative analysis

Data analysis

Communication

Teamwork

Education

Bachelor’s degree in Mathematics, Statistics, Computer Science, Financial Engineering, or related quantitative field

Job description

Role Overview

We are seeking a detail-oriented Quantitative Portfolio Analyst to support our portfolio management team. In this role, you will be responsible for analyzing portfolio performance, monitoring risks, and enhancing operational efficiency. You will work closely with portfolio managers and technologists to ensure smooth execution and continuous improvement of existing strategies.

Key Responsibilities

• Conduct quantitative analysis of portfolio performance and risk exposures.
• Monitor and evaluate existing quantitative trading strategies and ensure their effective execution.
• Perform data analysis on large financial datasets to identify anomalies, inefficiencies, or operational risks.
• Automate reporting, monitoring tools, and data workflows to improve efficiency.
• Assist in performance attribution and generation of periodic portfolio reports.
• Collaborate with the technology team to enhance infrastructure for trading, monitoring, and reporting.
• Ensure compliance with internal risk management frameworks and operational guidelines.

Requirements:

• Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Financial Engineering, or related quantitative field from a Tier-1 college/university.
• Academic Credentials: CGPA of 8.0 or above; strong performance in JEE Main& JEE Advance / equivalent national exams preferred.
• Technical Skills: Strong proficiency in Python (NumPy, Pandas, SciPy, etc.).
• Solid understanding of probability, statistics, time-series analysis, and financial modeling.
• Exposure to portfolio analysis, data analytics, or risk management (internship/academic projects accepted).
• Strong problem-solving and analytical skills with attention to detail.
• Ability to thrive in a fast-paced, team-oriented environment.
• Excellent communication and collaboration skills. Preferred Qualifications (Good to Have)
• Experience in portfolio monitoring, performance reporting, or quantitative research support.
• Knowledge of financial instruments (equities, derivatives).
• Basic understanding of risk metrics such as volatility, Sharpe ratio, and drawdown analysis.

What We Offer

• Exposure to cutting-edge quantitative trading strategies and global markets.
• Collaborative, merit-driven, and intellectually stimulating work environment.
• Competitive compensation with performance-linked incentives.
• Professional growth through mentorship and hands-on learning.