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Posted By

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HR

HR at Careerfit.ai

Last Active: 05 December 2025

Job Views:  
71
Applications:  8
Recruiter Actions:  0

Job Code

1636796

Quantitative Trader

Posted 3 weeks ago
Posted 3 weeks ago

Description:

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:

- Bachelors or Masters 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.


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Posted By

user_img

HR

HR at Careerfit.ai

Last Active: 05 December 2025

Job Views:  
71
Applications:  8
Recruiter Actions:  0

Job Code

1636796

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