antongrudkin
Quantitative Research Engineer
Quantitative research engineer with a theoretical physics background and deep experience across CeFi and DeFi markets. Specialized in automated trading systems, derivatives and market microstructure analysis, and on-chain liquidity dynamics. Builds end-to-end research and execution infrastructure, including quantitative models, capital efficiency analysis, simulation and backtesting frameworks, and production-grade data pipelines.
Experience: 7 years
Yearly salary: $150,000
Hourly rate: $0
Nationality: 🇮🇱 Israel
Residency: 🇮🇱 Israel
Experience
Head of Analytics
Potok Tech LTD 2020 - 2025
Designing and evaluating quantitative trading strategies across trend-following, mean-reversion, and derivatives arbitrage. Building real-time market data pipelines and backtesting infrastructure. Developing quantitative models and analytics for derivatives markets, including volatility surfaces and yield curve dynamics, with interactive visualization layers. Integrated exchange-level trade data with portfolio analytics to evaluate execution quality and risk-adjusted performance.
Machine Learning Engineer
The Covert 2019 - 2020
Research and deployment of predictive models for algorithmic and high-frequency trading. Design of real-time data validation and reinforcement learning pipelines.
Skills
data-science
defi
ethereum
finance
graphql
machine-learning
python
quantitative-analyst
quantitative-trader
smart-contract
solidity
tech-lead
analyst
english
russian