Algorithmic Trader

Strategic Trading Role

A pivotal position that empowers stock brokers and retail investors through the innovative Stressless Trading Method (STM).

This role is responsible for guiding the company through the entire lifecycle of launching its algorithmic trading product in India.

The ideal candidate will possess proven experience in algorithmic trading platforms within the Indian stock market ecosystem.

Key responsibilities include strategic input on product positioning and differentiation, assistance with compliance setup and regulatory documentation, guidance on technology stack and vendor partnerships, support in establishing broker relationships and operational workflows, and advising on go-to-market strategies, pricing models, and customer engagement.

The selected individual will be expected to provide technical and business knowledge to align product capabilities with market demand.

They will also be responsible for backtesting strategies and live deployment of algo trading systems, client onboarding flows, and user experience design for trading applications.

A strong academic foundation in computer science or quantitative disciplines is essential, as well as proficiency in languages such as Python, C++, Java, or R.

Familiarity with financial libraries, APIs, and data visualization tools is a strong plus.

Solid knowledge of equity markets, trading instruments, and market microstructure—especially within the Indian stock market—is required.

The ideal candidate will have hands-on experience in designing, developing, or maintaining algorithmic trading systems and knowledge of broker APIs, order management systems, and automated execution strategies.

Experience in working with data analytics tools, backtesting frameworks, and simulated trading environments to evaluate algorithm performance and refine trading strategies is also necessary.

Understanding of SEBI regulations, exchange-specific rules, and compliance protocols related to automated and algorithmic trading in India is a must.

Strong problem-solving and analytical skills are required, along with the ability to approach complex challenges with a logical and data-driven mindset.

Good communication and collaboration skills are also essential, as the ideal candidate will need to work effectively with cross-functional teams.