Important: : Only candidates with relevant Quant Developer experience (minimum 2 years) should apply. Applications from freshers or candidates without exposure in proprietary/algorithmic trading will not be considered.

Position Title : Quantitative Developer Algorithmic Trading (Indian Market)

Location : Sector 132, Noida, Uttar Pradesh, India

Job Type : Full-time

Work Location : Onsite

About Us :

Stokhos Research Capital is a leading proprietary trading firm that leverages in-house technology and quantitative expertise to develop advanced trading algorithms. Our firm operates across diverse financial markets, utilizing strategies ranging from ultra-low latency high-frequency trading to low-frequency approaches.

We are looking for a Quantitative Developer who is passionate about coding, problem-solving, and the exciting world of finance. This role offers an opportunity to innovate, build, and scale algorithmic strategies while working with a collaborative, high-performance team.

Key Responsibilities :

- Build and refine low/medium-latency strategies to maintain a competitive edge in the markets.

- Design, develop, and optimize algorithmic trading strategies with a focus on performance and scalability.

- Develop systems for efficient access to historical market data and trading simulations.

- Build risk management and performance-tracking tools.

- Stay updated on state-of-the-art technologies in high-performance computing and trading systems.

- Work independently with minimal supervision while handling multiple priorities.

Qualifications & Experience :

- Bachelors degree (or higher) in Computer Science, Engineering, or related field.

- Minimum 2 years of proven experience as a Quantitative Developer in the algorithmic/proprietary trading industry.

- Proficiency in C++, Python, or Java.

Preferred Skills :

- Understanding of Indian markets, derivatives, and trading mechanics.

- Experience with Linux/Unix systems, low-latency trading systems, and performance optimization.

- Exposure to machine learning, statistical modelling, and data analysis.

- Strong troubleshooting, analytical, and problem-solving abilities.

- Excellent communication skills with fluency in English.

- Willingness to take ownership of both critical and routine tasks.