Quantitative Developer

About the Role

We are looking for motivated and skilled interns to join our team for a hands-on internship in quantitative research, systematic trading, and software development . This is a collaborative, learning-intensive opportunity where you’ll work on real-world trading systems and contribute to building scalable, data-driven strategies. The internship will be 2 months long and based in Bangalore, where interns are expected to be physically present and available to collaborate closely with team members throughout the duration of the program. This setup is designed to maximize learning, mentorship, and real-time collaboration.

Key Responsibilities

Assist in developing, testing, and optimizing algorithmic trading strategies Conduct quantitative research using time-series analysis, statistical modeling and machine learning Build and enhance backtesting and simulation frameworks Improve infrastructure for data ingestion, signal processing, and strategy execution Support the development of trading interfaces, dashboards, and analytics tools Help design adaptive trading systems and custom execution logic Contribute to internal risk and portfolio management tools Assist in integrating broker/exchange APIs and deployment pipelines Participate in documentation and implementation of research ideas You will also get the opportunity to contribute to our upcoming product line , which includes tools and platforms aimed at enhancing the broader algorithmic trading ecosystem for the Indian markets.

Requirements

Proficiency in Python (especially Pandas, NumPy, etc.) Strong logical reasoning and attention to detail Interest in quantitative finance, algorithmic trading, or financial data science Basic understanding of data structures, statistics, or time-series analysis. Familiarity with Git, backtesting libraries, or lower-level languages (e.g., C++/Rust) is a bonus

Benefits

Real-world

experience

with trading systems and research pipelines Mentorship from experienced quants and software engineers Opportunity to contribute to open-source tools or publish technical research Fixed competitive monthly stipend for the internship duration Performance-based bonus upon successful completion Potential path to a full-time offer or remote extension based on performance

Proficiency in Python (especially Pandas, NumPy, etc.) Strong logical reasoning and attention to detail Interest in quantitative finance, algorithmic trading, or financial data science Basic understanding of data structures, statistics, or time-series analysis. Familiarity with Git, backtesting libraries, or lower-level languages (e.g., C++/Rust) is a bonus

Benefits

Real-world

experience

with trading systems and research pipelines Mentorship from experienced quants and software engineers Opportunity to contribute to open-source tools or publish technical research Fixed competitive monthly stipend for the internship duration Performance-based bonus upon successful completion Potential path to a full-time offer or remote extension based on performance