Quantitative Researcher - Crypto Markets BitQcode Capital

3.0 - 7.0 years

0 Lacs

karnataka

On-site

You are a highly driven and analytical Quantitative Researcher with a strong foundation in mathematics, statistics, and market microstructure. Your passion lies in high-frequency trading (HFT), statistical arbitrage, and innovative alpha discovery in both decentralized and centralized digital asset markets. You have hands-on experience in developing and testing trading strategies and possess a deep understanding of order book dynamics, risk modeling, and ML techniques grounded in sound statistical reasoning. Your responsibilities include researching, designing, and implementing quantitative trading strategies in crypto markets using statistical and machine learning models. You will conduct alpha research, signal generation, and strategy backtesting using large-scale historical tick/order book data. Additionally, you will develop and apply statistical arbitrage techniques across multiple crypto assets and exchanges, model market microstructure phenomena, and perform rigorous data analysis and hypothesis testing to validate trading ideas. Collaboration with engineering teams to deploy strategies in production environments with low-latency constraints is crucial. You will continuously monitor and improve model performance using real-time and historical data, while staying updated on the latest developments in DeFi, crypto trading infrastructure, and quantitative finance research. You hold a Bachelors, Masters, or PhD in Statistics, Mathematics, Physics, Computer Science, or a related quantitative field. Your knowledge spans probability theory, stochastic processes, time series analysis, and optimization. You have proven experience with crypto markets, strong coding skills in Python, C++, or Rust, and familiarity with machine learning techniques rooted in statistical principles. Preferred qualifications include prior experience in a quant fund, HFT firm, or crypto-native trading desk, familiarity with cloud computing, GPU acceleration, or high-performance computing techniques, and exposure to alternative data, chain analytics, or DeFi protocols. A strong understanding of execution cost modeling, slippage, and latency optimization is also beneficial. In return, you will have the opportunity to work at the frontier of quantitative research and crypto innovation. You will be part of a collaborative and intellectually stimulating environment that encourages research autonomy and creativity. Competitive compensation including base salary, performance-based bonuses, and token/equity incentives will be provided, along with access to cutting-edge datasets, infrastructure, and computing resources.,

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Quant Trader (AI/ML - Systematic Strategies) Santriya Technologies

3.0 - 8.0 years

6 - 8 Lacs

chennai

Remote

Research, backtest, and trade systematic strategies across asset classes. Build robust data pipelines, feature engineering, and ML models (tree ensembles, linear models, deep learning where justified). Use GenAI to accelerate research notes, code scaffolding, and experiment tracking; maintain strict risk limits and compliance. Strategy research with rigorous validation Backtesting with transaction costs/slippage Python (NumPy/Pandas) and ML (sklearn/torch) Risk management and monitoring GenAI for research acceleration and doc hygiene.

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