Algo Trader - MFT Options Strategies

Intellectual Capital HR Consulting Pvt. Ltd.; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Intellectual Capital HR Consulting Pvt. Ltd. seeks an experienced Algo Trader to design and implement medium-frequency options strategies in Python. The role combines live trading with rigorous backtesting and risk controls.

You will analyze market data, develop pricing models, and communicate results to the team. Dual gate requirement: proven options trading experience and Python algorithmic development.

Qualifications

• Experience designing and implementing algorithmic options trading strategies.
• Strong programming skills in Python for live trading and backtesting.
• Ability to analyze market data, volatility, and risk factors.

Responsibilities

• Design and implement algorithmic options trading strategies in Python with a focus on efficiency, accuracy and speed
• Analyse market data, historical trends and risk factors to continuously optimise trading algorithms
• Stay across options market trends, news and relevant economic indicators
• Conduct in-depth research on options pricing models, implied volatility and other factors influencing options trading
• Develop and implement risk management protocols in Python to monitor and manage exposure
• Communicate trading strategies, results and potential improvements to the team
• This is a dual gate and both halves are hard: proven options trading experience AND Python algorithmic development.
• We are looking for an options trader who codes, or a quant developer who has traded live options
• production Python, backtesting frameworks, live strategy deployment, pricing models and implied volatility work.

Skills

Python programming

Options trading

Algorithmic trading

Quant development

Job description

• An established brokerage firm investing in proprietary trading is hiring an Algo Trader for medium-frequency options strategies.

Key responsibilities:

• Design and implement algorithmic options trading strategies in Python with a focus on efficiency, accuracy and speed
• Analyse market data, historical trends and risk factors to continuously optimise trading algorithms
• Stay across options market trends, news and relevant economic indicators
• Conduct in-depth research on options pricing models, implied volatility and other factors influencing options trading
• Develop and implement risk management protocols in Python to monitor and manage exposure
• Communicate trading strategies, results and potential improvements to the team
• This is a dual gate and both halves are hard: proven options trading experience AND Python algorithmic development.
• We are looking for an options trader who codes, or a quant developer who has traded live options
• production Python, backtesting frameworks, live strategy deployment, pricing models and implied volatility work.