Quantitative Researcher

Job Description

CryptoChakra is a leading cryptocurrency analytics and education platform dedicated to decoding digital asset markets through quantitative innovation and data-driven insights. By merging advanced machine learning, real-time blockchain analytics, and immersive educational tools, we empower traders, institutions, and enthusiasts to navigate crypto volatility with precision. Our platform transforms complex data into actionable strategies, offering AI-driven forecasts, risk models, and DeFi protocol evaluations. As a remote-first innovator, we prioritize transparency, scalability, and user-centric solutions to democratize access to decentralized finance. Position: Quantitative Researcher (Crypto Markets) Remote | Full-Time Internship | Compensation: Paid/Unpaid based on suitability Role Summary Join CryptoChakra’s quantitative research team to pioneer models that decode crypto market dynamics and drive algorithmic strategies. This role offers hands-on experience in statistical arbitrage, stochastic modeling, and blockchain data analysis, with mentorship from finance and cryptography experts. Key Responsibilities Algorithmic Strategy Development: Design and backtest quantitative models for arbitrage, market-making, and trend prediction using Python/R. Analyze on-chain metrics (Etherscan, Glassnode) and exchange data (Binance, Bybit) to identify alpha signals. Risk & Portfolio Modeling: Build stochastic models (Monte Carlo, GARCH) to assess volatility, liquidity risks, and portfolio optimization in crypto assets. Evaluate correlations between cryptocurrencies and traditional markets (equities, commodities). DeFi Research: Investigate yield farming strategies, liquidity pool returns, and impermanent loss in protocols like Uniswap and Curve. Insight Dissemination: Publish whitepapers and dashboards (Tableau, Power BI) to translate quantitative findings into educational content. Qualifications Technical Skills Proficiency in Python/R for quantitative analysis (NumPy, SciPy, QuantLib) and machine learning (TensorFlow, PyTorch). Expertise in statistical methods: time-series analysis, stochastic calculus, and hypothesis testing. Experience with SQL/NoSQL databases, cloud platforms (AWS, GCP), and blockchain data tools (Dune Analytics). Familiarity with algorithmic trading frameworks and backtesting tools (Backtrader, QuantConnect). Professional Competencies Analytical rigor to derive actionable insights from high-frequency and unstructured datasets. Ability to communicate complex quantitative concepts to cross-functional teams. Self-driven with adaptability to remote collaboration tools (GitHub, Slack). Preferred (Not Required) Academic projects involving quantitative finance, crypto market microstructure, or DeFi protocol analysis. Exposure to smart contract development (Solidity) or decentralized oracle systems (Chainlink). Pursuing or holding a degree in Quantitative Finance, Financial Engineering, Physics, or related fields. What We Offer Skill Development: Master cutting-edge tools like Pandas, Kafka, and blockchain analytics platforms. Real-World Impact: Contribute to strategies powering CryptoChakra’s platform, used by global users. Mentorship: Learn from quants, data scientists, and blockchain pioneers in a collaborative remote environment. Certification: Earn a Crypto Quantitative Analyst internships certificate . Show more Show less