Quant Options Trader: Real-Time Strategy & Execution

Impax Recruitment Ltd

New York (NY)

On-site

USD 120,000 - 200,000

Full time

10 hours ago
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Job summary

Impax Recruitment Ltd is seeking an experienced Options Trader to design, execute, and refine cross-asset options strategies. You will work with quantitative researchers and developers to deploy data-driven models in real time within a fast-moving trading environment.

The role requires strong mathematical and programming skills, a solid track record of PnL, and the ability to make disciplined decisions under pressure while aligning with risk controls and liquidity objectives.

Qualifications

  • Degree in Finance, Mathematics, Physics, Computer Science, Engineering or related discipline.
  • Strong experience in options trading with a deep understanding of options markets and strategies.
  • Proven track record of consistent PnL and quantitative live trading decisions.
  • Will need to work adjusted hours covering US market hours plus occasional weekend coverage.

Responsibilities

  • Design, implement, and optimize options trading strategies across global markets
  • Analyze market data using quantitative methods to identify trading opportunities
  • Monitor and manage risk exposures within defined risk limits
  • Collaborate with quantitative analysts, engineers, and traders to enhance strategy
  • Track market developments, macro events and volatility drivers
  • Execute trades efficiently while managing positions for performance and liquidity
  • Contribute to ongoing development of trading systems and processes

Skills

Quantitative analysis
Risk management
Fast decisions
Communication

Education

Degree in Finance/Math/Physics/CS/Engineering

Tools

Python
C++
Trading systems

Job description

Impax Recruitment Ltd is seeking an experienced Options Trader to design, execute, and refine cross-asset options strategies. You will work with quantitative researchers and developers to deploy data-driven models in real time within a fast-moving trading environment.

The role requires strong mathematical and programming skills, a solid track record of PnL, and the ability to make disciplined decisions under pressure while aligning with risk controls and liquidity objectives.

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