Quant Head Callisto Talent Solutions

The Corporate Institute; India; On-site; INR 6,000,000 - 11,000,000; Full time

Job summary

The Corporate Institute in Gurugram seeks a hands-on Head of Quant with a proven track record in systematic trading and alpha research to lead our quantitative research function.

You will mentor a high-performing team, drive strategy research, backtesting, and deployment, and collaborate across trading and technology to scale low-latency systems.

Qualifications

• 7+ years of experience in Quant Research/Systematic Trading, preferably within HFT or Proprietary Trading.
• Strong expertise in probability, statistics, optimization, market microstructure, and alpha modeling.
• Excellent programming skills in C++/C, Python, and Linux.

Responsibilities

• Lead and mentor a high-performing quant research team.
• Drive alpha generation, strategy research, backtesting, and production deployment.
• Collaborate with trading and technology teams to build scalable, low-latency trading systems.
• Own research priorities, innovation, and the evolution of quantitative strategies.

Skills

Leadership

Quant research

Alpha modeling

Statistics

Probability & stats

Tools

C++/C

Python

Linux

Job description

Hiring: Head of Quant | Gurugram

Join a fast-growing proprietary High-Frequency Trading (HFT) firm building cutting-edge, data-driven trading algorithms across equities, futures, and options.

Looking for a hands-on Head of Quant with a proven track record in systematic trading, alpha research, and strategy development to lead quantitative research function.

What you’ll do:

• Lead and mentor a high-performing quant research team.
• Drive alpha generation, strategy research, backtesting, and production deployment.
• Collaborate with trading and technology teams to build scalable, low-latency trading systems.
• Own research priorities, innovation, and the evolution of quantitative strategies.

What we’re looking for:

• 7+ years of experience in Quant Research/Systematic Trading, preferably within HFT or Proprietary Trading.
• Strong expertise in probability, statistics, optimization, market microstructure, and alpha modeling.
• Excellent programming skills in C++/C, Python, and Linux.
• Experience developing and scaling systematic trading strategies with measurable performance.
• Strong leadership, communication, and stakeholder management skills.