Job Description: We are seeking a highly motivated Quantitative Developer Intern to help build and refine an automated trading system. You will be responsible for translating complex financial strategies into executable code, with a heavy focus on backtesting integrity and system optimization. Key Responsibilities: • Code Implementation: Build and maintain trading code in Kotlin(primary) and Python(secondary). • Backtesting & Simulation: Develop robust frameworks for 10-year backtests, including Monte Carlo simulations and Walk-Forward Optimization. • System Architecture: Help design scoring systems and regime identification filters to improve strategy reliability. • Optimization: Implement weighting systems for trade execution and performance metrics. Qualifications: • Strong proficiency in Python (Pandas, NumPy, Scikit-learn, Optuna, XGBoost). • Educational degree (currently pursuing or recently graduated) in Computer Science, Data Science, Information Technology, Artificial Intelligence, Statistics, or Quantitative Finance. • Basic knowledge of statistical modeling or machine learning. Stipend: You will be paid a guaranteed monthly amount of Rs 10,000. Additionally you are eligible for a monthly performance bonus of Rs 15,000 (So a total of monthly Rs 25,000 is possible for an excellent candidate). Duration: 2-6 months depending on the candidates availability.