Quantitative Trader

Confidential

Gurugram District

On-site

INR 900,000 - 1,800,000

Full time

14 days+

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Benefits offered by this job

Competitive performance-based incentives
Exposure to cutting-edge technology

Job summary

A leading trading firm is seeking a Trader to join their team in Gurugram, Haryana. The ideal candidate will have expertise in financial markets, trading strategies, and hands-on experience in executing trades. Responsibilities include managing trades across asset classes and collaborating with various teams. A Bachelor's or Master's degree in a relevant field is required, along with proven trading experience. Competitive performance-based incentives are offered.

Qualifications

  • Proven experience in trading (prop desk, hedge fund, or investment bank).
  • Familiarity with VaR, drawdown, leverage, and exposure.
  • Ability to thrive under pressure and make quick decisions.
  • Analytical mindset; Python/R/VBA a plus.
  • Familiarity with risk management concepts (VaR, drawdown, leverage).

Responsibilities

  • Execute and manage trades across multiple asset classes.
  • Monitor market movements and identify trading opportunities.
  • Collaborate with research, risk, and technology teams.
  • Collaborate with research, risk, and technology teams to enhance trading performance.
  • Maintain and update trade blotters, P&L, and risk reports.
  • Ensure compliance with internal trading policies, regulatory requirements, and risk limits.
  • Contribute to market analysis, portfolio optimization, and alpha generation initiatives.
  • Continuously improve execution efficiency through automation and analytics.

Skills

Experience in trading
Strong knowledge of financial markets
Proficiency in Excel
Python / R / VBA proficiency
Risk management concepts knowledge
Strong communication skills
Analytical mindset

Education

Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or Computer Science
Math/Engineering/CS

Tools

Excel
Bloomberg terminal
Reuters terminal
Python/R/VBA

Job description

Direct message the job poster from Confidential

IIM Dropout → Turned Talent Scout | Hiring for HFT, MFT & Hedge Funds

About the Role

We are looking for a driven and analytical Trader to join our trading team. The ideal candidate will have a strong understanding of financial markets, trading strategies, and risk management, along with hands‑on experience in executing and monitoring trades across asset classes.

This role requires a mix of quantitative aptitude, market intuition, and discipline, with the ability to make data‑driven decisions in a fast‑paced environment.

Key Responsibilities

  • Execute and manage trades across multiple asset classes (e.g., equities, derivatives, FX, commodities, fixed income).
  • Monitor market movements, identify trading opportunities, and manage risk exposure.
  • Develop, backtest, and refine quantitative or discretionary trading strategies.
  • Collaborate with research, risk, and technology teams to enhance trading performance.
  • Maintain and update trade blotters, P&L, and risk reports.
  • Ensure compliance with internal trading policies, regulatory requirements, and risk limits.
  • Contribute to market analysis, portfolio optimization, and alpha generation initiatives.
  • Continuously improve execution efficiency through automation, analytics, and process optimization.

Required Skills & Experience

  • Proven experience in trading (prop desk, hedge fund, or investment bank).
  • Strong knowledge of financial markets, instruments, and market microstructure.
  • Proficiency in Excel, Bloomberg, or Reuters terminals.
  • Analytical and quantitative mindset; proficiency in Python / R / VBA is a plus.
  • Familiarity with risk management concepts — VaR, drawdown, leverage, and exposure.
  • Ability to thrive under pressure and make quick, informed decisions.
  • Strong communication and collaboration skills.

Preferred / Nice‑to‑Have Skills

  • Experience with algorithmic or quantitative trading.
  • Exposure to HFT / low‑latency trading environments.
  • Understanding of portfolio optimization and statistical arbitrage.
  • CFA / FRM or similar certifications preferred (but not mandatory).

Education

  • Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Engineering, or Computer Science.
  • Strong academic background with emphasis on quantitative and analytical skills.

Why Join Us

  • Opportunity to work in a dynamic, fast‑paced trading environment.
  • Exposure to cutting‑edge technology and trading platforms.
  • Competitive performance‑based incentives.
  • Collaborative culture focused on innovation and performance.
Seniority level

Mid‑Senior level

Employment type

Full-time

Job function

Finance

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