Company Description TradeGence is a quantitative financial technology firm focused on designing and executing systematic trading strategies built on advanced machine learning and statistical models. The firm specializes in algorithmic execution architecture, predictive market intelligence, and automated risk management systems tailored to the Indian equity markets. TradeGence emphasizes data-driven decision-making, using high-frequency data pipelines and rigorous quantitative validation to ensure structural resilience of its trading systems. Its mission is to replace emotional trading with engineering rigor, prioritizing positive expectancy and robust risk–reward asymmetry across market conditions. Team members work in an setting that values technical excellence, experimentation, and disciplined capital allocation.
Role Description This is a full time remote Machine Learning Intern role at TradeGence. The intern will support the research, development, and testing of machine learning models for systematic trading, including data preprocessing, feature engineering,
and model evaluation. Day-to-day responsibilities include working with high-dimensional financial datasets, implementing and tuning algorithms (such as tree-based models or deep learning architectures), and contributing to backtesting frameworks and performance analysis. The intern will collaborate with quantitative researchers and engineers to integrate models into trading and risk management pipelines, document experiments, and present findings clearly. This role offers exposure to real-world quantitative finance applications and an opportunity to learn best practices in production-grade machine learning systems.
Qualifications
Strong foundation in Computer Science and Algorithms, including data structures, complexity analysis, and software engineering fundamentals.
Applied skills in Machine Learning and Deep Learning, with experience building, training, and evaluating models using common frameworks (