Quant Trader

Stokhos Research Capital; Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Competitive pay

Cutting-edge technology

Collaborative environment

Growth opportunities

Job summary

Stokhos Research Capital seeks a quantitative researcher to design and execute profitable trading strategies using statistical and machine learning methods. You will work with related teams and management to refine systems and maximize performance across markets.

Responsibilities include developing high‑frequency options market‑making algorithms, analyzing large datasets, and collaborating to deploy, test, and monitor strategies while managing risk and staying updated on industry trends.

Qualifications

• Bachelor's or Master's degree in Finance, Mathematics, Economics, Computer Science, or a related field.
• Minimum 3 years in quantitative research, statistical analysis, or related fields.

Responsibilities

• Design profitable low/high-frequency options market-making strategies.
• Develop algorithms to quote and trade options in high-frequency environments.
• Analyze large datasets to identify profitable trading opportunities.
• Optimize strategies for consistent profitability.
• Monitor and execute strategies across markets and asset classes.
• Manage and mitigate risks associated with trading activities.
• Collaborate with team to create, test, and deploy trading strategies.
• Evaluate performance and provide actionable insights.
• Stay updated on market trends, technologies, and regulations.

Skills

Time-series analysis

Predictive modeling

Machine learning

Python

R

C++ (preferred)

Linux/Unix

Quantitative aptitude

Team collaboration

Decision making under pressure

Education

Bachelor's or Master's in Finance/Math/Economics/CS

Tools

Python

R

C++

Linux/Unix

Job description

Role Summary

The ideal candidate will design and execute profitable trading strategies, leveraging statistical and quantitative methods. You will closely with related team and management to refine trading systems and maximize performance across diverse markets.

Key Responsibilities

• Design Profitable Low/High-Frequency Options Market-Making Strategies.


• Develop advanced algorithms to efficiently quote and trade options in high-frequency environments.


• Analyze large datasets to identify profitable trading opportunities.


• Optimize strategies for consistent profitability.


• Actively monitor and execute trading strategies across multiple markets and asset classes.


• Manage and mitigate risks associated with trading activities.


• Strategy Development and Optimization.


• Collaborate with team to create, test, and deploy trading strategies.


• Evaluate the performance of strategies and provide actionable insights.


• Analyze market patterns and identify potential trading opportunities.


• Conduct research on new trading opportunities using statistical and machine learning techniques.


• Stay updated on market trends, trading technologies, and regulatory changes.

Qualifications & Experience

• Bachelor's or Master's degree in Finance, Mathematics, Economics, Computer Science, or a related field.


• Minimum 3 year in quantitative research, statistical analysis, or related fields.

Preferred Skills

• Experience in high-frequency trading, options market-making, and managing PnL effectively.


• Experience with time-series analysis and predictive modeling.


• Familiarity with low-latency trading infrastructure.


• Strong understanding of financial instruments and derivatives.


• Knowledge of risk management and portfolio optimization techniques.


• Proven ability to develop and implement advanced trading algorithms.


• Proficiency in Python and R for statistical and data analysis.


• Familiarity with C++ for performance optimization (preferred).


• Knowledge of Linux/Unix operating systems.


• Ability to analyze large datasets to uncover trading opportunities and market inefficiencies.


• Strong quantitative aptitude and analytical skills.


• Strong interpersonal and collaboration skills to work within a multidisciplinary team.


• Effective communication and decision-making abilities under pressure.


• Experience applying machine learning techniques in financial markets.

What We Offer

• A competitive compensation structure based on performance.


• Access to cutting-edge technology and infrastructure.


• A collaborative environment with experienced professionals.


• Opportunities for growth and continuous learning.