Senior Quant Trader

Department Icon Data Science Analytics & Machine Learning
Posted: 4 months ago
5-8 years
Gurugram, Haryana
Data Science Analytics & Machine Learning
work from office
Full Time

Posted: 4 months ago
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Posted over 15 days ago, so the role may have closed. Confirm on the employer's page when you apply, or see similar jobs.

Job Description

Role - Senior Quant Trader

Location - Gurgaon (On-site / Hybrid)

About Company -

This is a high-performance proprietary trading firm focused on building systematic, data-driven trading strategies across global markets. We are combines deep quantitative research with cutting-edge technology to generate consistent alpha.

Role Overview -

We are looking for a Senior Quant Trader with 5–8 years of experience and a proven track record in developing and deploying systematic trading strategies. The ideal candidate will have strong expertise in alpha generation, statistical modeling, and risk management across asset classes such as equities, derivatives, crypto, or global macro markets.

Key Responsibilities -

  • Develop, backtest, and deploy quantitative trading strategies
  • Generate consistent alpha using statistical and machine learning models
  • Conduct rigorous data analysis and research on market inefficiencies
  • Optimize execution strategies and minimize slippage
  • Build and implement robust risk management frameworks
  • Collaborate with tech and research teams to enhance trading infrastructure
  • Monitor live strategies and continuously refine performance

Required Qualifications -

  • 5–8 years of experience in proprietary trading, hedge funds, or quant-driven environments
  • Strong programming skills in Python, C++, or similar languages
  • Deep understanding of probability, statistics, time-series analysis, and financial mathematics
  • Experience with backtesting frameworks and trading systems
  • Strong knowledge of derivatives, market microstructure, and execution strategies
  • Demonstrated track record of profitable strategies

Preferred Skills -

  • Experience in high-frequency or mid-frequency trading
  • Familiarity with machine learning techniques
  • Strong portfolio construction and capital allocation experience
  • Ability to thrive in a fast-paced, performance-driven environment

If interested please share your resume at [HIDDEN TEXT]

Skills

PythonData AnalysisMachine LearningStatistical Modeling

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