Stokhos Research Capital - Quantitative Developer - Algorithmic Trading Systems

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

Preferred Skills

(ref : hirist.tech)

Skills Required

Java, Unix, Data Analysis, Machine Learning, Linux, Statistical Modelling, Performance Optimization, Python