Quant Trader – Algorithmic Trading – Banking/Financial Services Quest Business Solution

The Corporate Institute; Mumbai; On-site; INR 8,000,000 - 10,000,000; Full time

Job summary

Team Quest Business in Mumbai seeks a Quant Trader for a Wealth Tech client in Worli. The role demands 7+ years of experience in algorithmic trading, HFT/MFT, and equity derivatives, to develop and monitor systematic strategies in a fast-paced environment.

Responsibilities include live execution, strategy backtesting, risk monitoring, and collaboration with researchers and developers to refine strategies and execution infrastructure.

Qualifications

• Proven expertise in quantitative and algorithmic trading.
• Experience with live trading environments and risk controls.
• Strong understanding of market microstructure and liquidity dynamics.

Responsibilities

• Develop, implement, and monitor quantitative trading strategies.
• Execute algorithmic trading strategies in live markets.
• Analyze large data volumes to identify trading opportunities.
• Monitor P&L, risk, drawdowns, and exposure.
• Optimize execution algorithms to reduce costs and slippage.
• Backtest and evaluate trading models.

Skills

Algorithmic trading

HFT

MFT

Quantitative strategy development

Equity derivatives

Job description

We are hiring for a technology-driven Wealth Tech client for a Quant Trader with strong experience in Algorithmic Trading, HFT/MFT, quantitative strategy development, and equity derivatives to join our fast-growing, investor-backed WealthTech organization based in Worli, Mumbai.

The ideal candidate will have strong experience in quantitative and algorithmic trading, market microstructure, strategy development, and live trading environments. This is an exciting opportunity to work in a fast-paced, data-driven trading environment focused on HFT, MFT, and systematic trading strategies.

Role: Quant Trader

Experience: 7+ Years

CTC: Upto 1 CR

Location: Worli, Mumbai

Key Responsibilities:

• Develop, implement, and monitor quantitative trading strategies.
• Execute algorithmic trading strategies in live market environments.
• Analyze large volumes of market and tick-by-tick data to identify trading opportunities.
• Monitor strategy performance, P&L, drawdowns, exposure, and key risk metrics.
• Optimize execution algorithms to improve trade efficiency and minimize transaction costs.
• Conduct backtesting, statistical analysis, and performance evaluation of trading models.
• Analyze market microstructure, liquidity, volatility, price movements, and execution patterns.
• Collaborate closely with Quant Researchers, Developers, and Technology teams to enhance and refine trading strategies.
• Monitor changing market conditions and adapt strategies based on volatility and liquidity.
• Identify opportunities to improve existing strategies and develop new trading ideas.
• Ensure adherence to internal risk management frameworks, trading limits, and compliance guidelines.
• Troubleshoot live strategy issues and contribute to the continuous improvement of trading infrastructure and execution.

Team Quest Business