№ 1025 · RL trading strategies, DeFi · Hybrid · Moscow Archived
Quantitative Researcher (Middle / Senior) for a team building reinforcement learning trading strategies — hybrid in Moscow or remote
A quant who owns the full research cycle of trading strategies and takes them to production.
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About the company
A product team in DeFi and algorithmic trading. The platform helps businesses earn on idle capital in stablecoins: higher yield, full transparency, withdrawal at any time. At its core are proprietary reinforcement learning trading strategies and 24/7 capital reallocation.
This is not the team's first product: its previous protocol was in the DeFi top 100, raised venture investment from the US and was profitable from the very start. The team has 15 people, the quant function is growing to ~5, there is no heavy hierarchy, you work directly with the founder.
About the role
A Quantitative Researcher who owns the full research cycle on their own: from hypothesis and data to backtest, validation and results in production.
What you will do
The key task is strategies that increase the protocol's yield. There is one KPI: how much the strategy earns and whether it is running in production.
- Quantitative research and development of trading strategies for DeFi and crypto markets
- SL and RL models for market making and position management
- Delta-neutral hedging and risk management
- Backtesting and simulation environments on crypto data (order book, trades)
- Improving algorithms based on real execution results
What matters
- Experience as a Quantitative Researcher from 2 years; understanding of markets, time series and strategy development. The instrument doesn't matter, not only crypto
- Supervised Learning and Reinforcement Learning, statistical analysis, model optimization
- Strong Python; PyTorch, Scikit-Learn, CatBoost, XGBoost, Optuna
- University degree: finance, mathematics, IT, statistics
- The team communicates in Russian; English for reading documentation
- autonomy: if you have only been responsible for one part of the cycle, the role will be a stretch for you
Nice to have
- Trading, market making, low-latency crypto
- Working with order book and trades
- Real PnL on a strategy, not just a prototype
- Experience in quant funds, HFT, prop trading or bank quant teams
- Active use of AI tools.
Terms
- hybrid, office in central Moscow / remote
- Fixed pay in stablecoins (USDT/USDC, 1:1 to the dollar)
- Quarterly profit sharing based on strategy results
- Paid vacation
- the company pays for AI subscriptions