Python Developer

SSquare Capital; Chandigarh; On-site; INR 600,000 - 800,000; Full time

Job summary

A proprietary trading firm in Chandigarh is seeking a Python Developer to implement and deploy trading strategies. The ideal candidate should have strong proficiency in Python, especially with data handling libraries like pandas and numpy. Responsibilities include creating backtesting frameworks and collaborating on code management. This entry-level position offers an opportunity to work closely with the founder on innovative trading strategies.

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.

Responsibilities

• Implement backtests for trading strategies using Python.
• Work with large datasets of historical and live market data from NSE/BSE.
• Create and maintain modular and scalable backtesting frameworks.
• Collaborate on version control (Git) and maintain well-documented codebases.

Skills

Python

pandas

numpy

data handling

multithreading

asynchronous programming

object-oriented programming

modular code design

working with large CSV/parquet datasets

Job description

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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.
• 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.

Seniority level

• Entry level

Employment type

• Full‑time

Job function

• Engineering and Information Technology

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