Quantitative Researcher

Quantitative Researcher for DeFi and algorithmic trading. Develop and optimize trading strategies using quant methods and ML (SL/RL), including market-making, delta-neutral hedging, backtesting, and market data analysis. Office in central Moscow, hybrid, remote possible for Senior. Salary in stablecoins.

Product team in DeFi and algorithmic trading is looking for a Quantitative Researcher to develop and optimize algorithmic trading strategies for DeFi and crypto markets using quantitative methods and ML (SL/RL), including market-making, delta-neutral hedging, backtesting, and market data analysis for continuous improvement. Responsibilities: - Conduct quantitative research and develop trading strategies for DeFi and crypto markets - Build and develop machine learning models (SL, RL) for market-making and position management - Develop and optimize delta-neutral hedging and risk management strategies - Build backtesting and simulation environments to evaluate trading strategies on crypto data (order book, trades) - Analyze market data and improve algorithms based on real execution results - Monitor and research new approaches in Quant Finance, RL, and DeFi

Education: higher education (finance, mathematics, IT, statistics) - Experience as Quant Researcher from 2 years; understanding of financial markets, time series, and trading strategy development - Experience with Supervised Learning (SL) and Reinforcement Learning (RL) methods, statistical analysis, and model optimization - Confident proficiency in Python - Practical experience with PyTorch, Scikit-Learn, CatBoost, XGBoost, and Optuna - Team communicates in Russian; English at the level of understanding terminology and reading documentation

Office in the very center of Moscow (near metro stations Okhotny Ryad / Teatralnaya / Chekhovskaya / Pushkinskaya) - Schedule: hybrid; remote work possible for Senior specialists - Salary is paid in stablecoins