Intern – Quant

Description

CoinDCX is hiring for the role of Quantitative Research Intern in Bengaluru, offering a hybrid internship opportunity focused on the intersection of financial markets and artificial intelligence within the Web3 ecosystem. The role involves working on cutting-edge research and development initiatives to build autonomous trading systems using technologies such as Large Language Models, Reinforcement Learning, and multi-agent systems. Interns will actively contribute to designing intelligent agents capable of monitoring, reasoning, and adapting to dynamic market conditions while working with high-frequency financial data. The position emphasizes hands-on innovation, collaboration with experienced quants and engineers, and direct impact on next-generation trading infrastructure, providing exposure to advanced AI applications in finance and crypto markets.

Responsibilities

• Research and prototype autonomous trading agents capable of monitoring strategies and detecting market regime shifts
• Apply AI techniques (Generative AI, Reinforcement Learning, Neural Networks) to optimize signal generation, order execution, and risk management
• Develop intelligent monitoring frameworks to detect anomalies in trading bot behavior and strategy performance
• Perform backtesting and validation of AI-driven strategies using historical tick data
• Collaborate with senior quantitative researchers to translate theoretical AI concepts into practical trading tools and systems

Requirements

• Eligibility & Education:
• Currently pursuing or recently completed a degree (BS/MS/PhD) in Computer Science, Mathematics, Quantitative Finance, or related field Technical & Functional Skills:
• Strong foundation in Machine Learning and AI concepts (including RL, Transformers, or agent-based systems)
• Proficiency in Python
• Experience with ML libraries such as PyTorch, TensorFlow, or LangChain
• Ability to work with large datasets (including tick data) and perform analysis
• Understanding of financial markets including order books, liquidity, and risk concepts Other Skills:
• Strong analytical thinking and problem-solving ability
• Passion for financial markets and trading systems
• Ability to collaborate with cross-functional teams and researchers
• Builder mindset with focus on innovation and experimentation
• Adaptability to work in a fast-paced, research-driven environment