Quant Researcher

Pace Commodity Brokers Private Limited C/O Ncdex; Gurugram District; On-site; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Catered meals

Group health insurance

4 weeks annual leave

Job summary

Pace Commodity Brokers Private Limited C/O Ncdex seeks a Quantitative Researcher to design, develop, and optimize systematic trading strategies with a focus on options and derivatives. The role includes backtesting, refining strategies, risk controls, and automating execution.

The ideal candidate has strong Python and C++ skills, solid derivatives knowledge, and experience in quantitative strategy development, backtesting, and algorithmic trading infrastructure.

Qualifications

• Strong programming skills in Python and C++.
• Experience with NumPy and Pandas is a plus.
• Understanding of financial markets, derivatives and quantitative trading concepts.

Responsibilities

• Design and implement quantitative trading strategies, fine-tuning execution parameters and performance metrics.
• Develop and analyze strategy variants, incorporating diverse market conditions and optimization techniques.
• Implement risk management mechanisms such as dynamic stop-loss and exit strategies to enhance stability.
• Research, design, and develop profitable options strategies aligned with real-time market conditions.
• Automate strategy execution and daily updates to streamline backtesting, analysis, and real-time monitoring.

Skills

Python

C++

Quantitative research

Backtesting

Algorithmic trading

Tools

NumPy

Pandas

Job description

We are looking for a Quantitative Researcher to design, develop, and optimize systematic trading strategies, with a strong focus on options and derivatives markets. The role involves researching market opportunities, backtesting and refining trading strategies, implementing risk management frameworks, and automating execution and analysis workflows. The ideal candidate will have strong programming skills in Python and C++, a solid understanding of financial markets and derivatives, and experience in quantitative strategy development, backtesting, and algorithmic trading infrastructure within a fast-paced trading environment.

We are looking for a Quantitative Researcher to design, develop, and optimize systematic trading strategies, with a strong focus on options and derivatives markets. The role involves researching market opportunities, backtesting and refining trading strategies, implementing risk management frameworks, and automating execution and analysis workflows. The ideal candidate will have strong programming skills in Python and C++, a solid understanding of financial markets and derivatives, and experience in quantitative strategy development, backtesting, and algorithmic trading infrastructure within a fast-paced trading environment.

Responsibilities

Design and implement quantitative trading strategies, fine-tuning execution parameters and performance metrics.

Develop and analyze strategy variants, incorporating diverse market conditions and optimization techniques.

Implement risk management mechanisms such as dynamic stop-loss and exit strategies to enhance stability.

Research, design, and develop profitable options strategies aligned with real-time market conditions.

• Explore and test indicator-driven approaches to improve trade selection and efficiency.
• Backtest and optimize various trading strategies (e.g., simple, discount-based, butterfly, rolling, and hedging strategies), evaluating profit potential and risk exposure.
• Automate strategy execution and daily updates to streamline backtesting, analysis, and real-time monitoring.

Requirements

Strong programming skills in Python and C++ (experience with NumPy, Pandas, and other data libraries is a plus).

• Understanding of financial markets, derivatives, and quantitative trading concepts.
• Experience with backtesting and performance analysis of trading strategies.
• Familiarity with algorithmic trading infrastructure and execution systems.
• Strong analytical and problem-solving skills, with the ability to work in a fast-paced trading environment.
• Prior experience in quantitative research, trading, or algorithmic strategy development.
• Knowledge of options trading and derivatives pricing models.
• Experience with real-time data analysis and automation in trading workflows.

Why should you join us?

Collaborative Culture-

Work with highly skilled peers in a supportive and intellectually stimulating environment where ideas are encouraged and teamwork drives success.

Cutting-Edge Technology-

Be part of an industry that sits at the intersection of finance and advanced technology, building high-performance trading systems and innovative infrastructure.

Competitive Compensation-

We offer industry-leading compensation that rewards performance and impact.

Benefits-

Catered breakfast & lunch, well-stocked pantry, group health insurance, and 4 weeks of annual leave in addition to market holidays.