Analyst
Quantitative Researcher & Trading Oriented Data Scientist
Quantitative Researcher & Trading-Oriented Data Scientist with extensive experience developing, back-testing, and deploying large-scale machine-learning models and trading algorithms across traditional and digital-asset markets. Proven record in statistical arbitrage and delta-hedged trading. Combines a strong foundation in mathematics, econometrics, and programming with hands-on expertise in high-performance Python, distributed research pipelines, and production deployment.
Experience: 5 years
Yearly salary: $100,000
Hourly rate: $70
Nationality: 🇬🇷 Greece
Residency: 🇳🇱 Netherlands
Experience
Data Quantitative Analyst / Researcher
Equinox AI 2021 - 2026
Designed and implemented a scalable back-testing engine for systematic strategy parameter optimization, increasing Sharpe ratio and stabilizing returns. Developed multi-horizon trading signals using statistical and ML models (LSTM, XGBoost, symbolic regression) for cross-exchange arbitrage. Built high-performance research pipelines (NumPy, Numba, Pandas, Polars) for distributed simulation and validation on 1+ TB of historical data. Led research on delta-hedged and market-neutral strategies, integrating DEX liquidity and on-chain order-book data. Conducted DeFi protocol research, analyzing yield mechanisms, liquidity dynamics, and price-impact models. Automated ETL pipelines and Grafana/Streamlit dashboards for data ingestion and performance monitoring. Collaborated with traders to refine execution rules and latency optimization for model deployment. Contributed to deep-learning infrastructure for large-scale model training (PyTorch, BoTorch).
Skills
analyst
english