Quantitative Researcher
SeniorLead quantitative research and trading-strategy development at the intersection of Quant Finance, ML, and DeFi.
About the role
We’re looking for a Senior Quantitative Researcher to lead quantitative research and the development of algorithmic trading strategies for DeFi and crypto markets. The role blends research, new-strategy development, and technical leadership: you set research directions, help design the architecture of trading systems, lead research initiatives, and work with the ML Research team on intelligent capital-management algorithms. We want someone who takes research ideas all the way to production.
What you’ll do
- Set the direction of quantitative research and trading-strategy development
- Develop and refine algorithmic strategies for DeFi and crypto markets
- Design models for market making, liquidity management, delta-neutral hedging, and risk management
- Build the backtesting, simulation, and evaluation infrastructure
- Analyze real execution results and find new sources of alpha
- Lead research initiatives and mentor the Quant team
- Work with the ML Research team to integrate modern ML and RL methods into strategies
- Track research in Quantitative Finance, market microstructure, RL, and DeFi
- Help shape the product’s long-term research strategy
Requirements
- Degree in math, applied math, physics, Computer Science, finance, or statistics
- 3–4+ years of commercial experience in Quant Research, algorithmic trading, or Machine Learning
- Hands-on experience developing and shipping algorithmic trading strategies
- A strong track record at a Prop Trading firm, Hedge Fund, HFT, Big Tech, or FinTech
- At least one year leading a research-heavy team
- Deep understanding of financial markets, market microstructure, statistics, and time-series analysis
- Hands-on with SL, RL, and statistical methods in Quant Research
- Strong Python
- Hands-on with PyTorch, Scikit-Learn, CatBoost, XGBoost, and Optuna
- Experience running the full research cycle — from idea to production
- Our team works in Russian; English at a level to read research papers and documentation
Nice to have
- Hands-on experience with market-making strategies
- Experience with low-latency or HFT infrastructure
- Experience with crypto markets and DeFi
- Applying Reinforcement Learning to trading problems
- Working with order-book, trades, and other high-frequency data
- Publications, international competitions, research or Open Source projects
What we offer
- Office in the center of Moscow (Okhotny Ryad / Teatralnaya / Chekhovskaya / Pushkinskaya)
- Hybrid schedule (not fully remote); your future colleague lives in Moscow
- Final compensation depends on your experience, plus profit sharing
- Salary paid in stablecoins
About Reinforce
Reinforce.fi helps businesses in emerging markets earn more on idle USDT (TRC20) — without DeFi complexity and without locking liquidity.
- Higher yield (up to ~2× vs standard options) on USDT that would otherwise sit idle
- Full transparency and simple withdrawals at any time
- At the core — our own reinforcement-learning strategies, with automated management and capital reallocation 24/7
(ex-team Overnight.fi)
How to apply
Email your CV and a short note on relevant experience to [email protected], naming the role you are applying for. If your experience fits, there will be a small test task.