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Posted:15 hours ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

If you are self-motivated exceptional Trader with a strong foundation in quantitative trading then join our Quant Trading desk. This role is ideal for someone who can leverage data, technology, and statistical methods to identify and execute high-probability opportunities across markets.

As part of our high-performing team, you will be empowered to innovate, take ownership of your trading strategies, and benefit from a performance-driven environment backed by cutting-edge infrastructure and capital support.

This is full-time position based in Noida.

Key Responsibilities

  • Design, develop, and manage quantitative strategies across asset classes.
  • Leverage market inefficiencies and pricing anomalies through automated and semi-automated strategies.
  • Continuously enhance strategy performance using statistical analysis, back-testing, and real-time monitoring.
  • Risk management, including position sizing, exposure monitoring, and performance attribution.
  • Stay updated with market structure changes, regulatory developments, and technological shifts impacting trading efficiency.

Skills & Requirements

  • You have been learning about Quant Trading and have built a mindset and strategies on which you want to focus.
  • You do not require supervision to motivate you to research and build new trading strategies.
  • You may have track record in quantitative trading at a proprietary desk, hedge fund, or HFT setup.
  • Strong understanding of quantitative models, market micro-structure, and statistical methods.
  • Ability to process large datasets, draw actionable insights, and build logic-driven trading frameworks.
  • Solid grasp of risk control methodologies and real-time risk monitoring.
  • Ability to make rational and fast decisions in high-stakes market environments.
  • Consistent composure during volatile market conditions.
  • Eagerness to learn, iterate, and evolve strategies in line with market dynamics.
  • Familiarity with trading platforms, APIs, market data systems, and low-latency environments.
  • Comfort working in cross-functional teams with developers, researchers, and risk professionals.
  • Bachelor’s or Master’s degree in Finance, Economics, Mathematics, Statistics, Engineering, Computer Science, or related field.

Job Type: Full-time

Pay: ₹25,000.00 - ₹150,000.00 per month

Benefits:

  • Paid time off

Work Location: In person

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