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.,

Posted 3 days ago

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Portfolio Manager (HFT / MFT) - Options / Long-Short / Equities / Commodities HFT Firm (Stealth Mode)

3.0 - 7.0 years

0 Lacs

delhi

On-site

You have founded the company in 2023 and currently have a team size of 40-50 individuals. You are seeking a Portfolio Manager with 3-7+ years of experience to lead and manage proprietary trading strategies across Options, Long-Short, Equities, and Commodities. As a Portfolio Manager, you will be responsible for developing and executing trading strategies, utilizing various approaches to identify opportunities, driving alpha generation while managing risk, and collaborating with cross-functional teams to optimize portfolio performance. Your role will involve monitoring market dynamics, collaborating with quants and engineers to refine models, contributing to portfolio construction decisions, establishing risk controls, and maintaining research pipelines to explore new signals and markets. The ideal candidate will have a proven track record in trading or portfolio management, a degree in a quantitative or technical field, proficiency in Python, a deep understanding of market microstructure, and experience with systematic trading models. Preferred qualifications include experience at a hedge fund or proprietary trading firm, familiarity with risk modeling and performance attribution, exposure to statistical arbitrage, and a strong network in the trading/investment community. If you possess the required experience, analytical mindset, communication skills, and integrity, and are ready to take full ownership of your portfolio in a fast-paced environment, we encourage you to apply for this high-impact role.,

Posted 1 week ago

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