Company Description
We are an early stage proprietary trading firm focused on medium-frequency strategies in the Indian derivatives markets. Our vision is to build a cutting-edge trading operation that combines mathematical precision, robust data infrastructure, and intelligent execution systems.
Role Description
We are looking for a Python Developer with strong quantitative and data-handling skills to implement, test, and deploy trading strategies in live markets. You will work directly with the founder to translate strategy logic into clean, optimised, and reliable code.
Responsibilities
Implement backtests for trading strategies provided to you using Python (pandas, numpy, vectorisation) .
Work with large datasets of historical and live market data from NSE/BSE .
Create and maintain modular and scalable backtesting frameworks .
Build live deployment systems using broker APIs
Optimise execution logic for latency-sensitive trading .
Collaborate on version control (Git) and maintain clear, well-documented codebases.
Qualifications
Strong proficiency in Python , especially pandas , numpy , and data handling .
Experience with multithreading and asynchronous programming .
Solid knowledge of object-oriented programming and modular code design .
Ability to work with large CSV/parquet datasets efficiently.
Preferred (Bonus) Skills
Familiarity with C/C++ for performance-critical components.
Experience with backtesting , API integration , and real-time data processing .
Understanding of financial markets , particularly futures and options .
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We are an early stage proprietary trading firm focused on medium-frequency strategies in the Indian derivatives markets. Our vision is to build a cutting-edge trading operation that combines mathematical precision, robust data infrastructure, and intelligent execution systems.
Role Description
We are looking for a Python Developer with strong quantitative and data-handling skills to implement, test, and deploy trading strategies in live markets. You will work directly with the founder to translate strategy logic into clean, optimised, and reliable code.
Responsibilities
Implement backtests for trading strategies provided to you using Python (pandas, numpy, vectorisation) .
Work with large datasets of historical and live market data from NSE/BSE .
Create and maintain modular and scalable backtesting frameworks .
Build live deployment systems using broker APIs
Optimise execution logic for latency-sensitive trading .
Collaborate on version control (Git) and maintain clear, well-documented codebases.
Qualifications
Strong proficiency in Python , especially pandas , numpy , and data handling .
Experience with multithreading and asynchronous programming .
Solid knowledge of object-oriented programming and modular code design .
Ability to work with large CSV/parquet datasets efficiently.
Preferred (Bonus) Skills
Familiarity with C/C++ for performance-critical components.
Experience with backtesting , API integration , and real-time data processing .
Understanding of financial markets , particularly futures and options .
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