Blindspot
|Apprentice Quant Research Assistant & Model Developer
Remote, , Nigeria
Summary
Co-developed and optimized high-frequency quantitative models and data pipelines for prediction markets, significantly enhancing ROI and model precision.
Highlights
Co-developed a high-frequency, autonomous arbitrage system for Prediction Markets (Polymarket), achieving a 190% ROI during March 2026.
Designed a high-performance data pipeline to synchronize 5+ months of historical Forex and crypto data into a ClickHouse OLAP database, enabling rapid strategy validation and parameter optimization.
Improved model precision by implementing a weighted probability engine that calculates statistical edges in real-time, resulting in a 95% win rate (up from 91%) in simulated environments.
Designed a quad-exchange price fallback layer (Coinbase, Kraken, Bitfinex, Binance) to ensure 100% uptime and bypass geographical DNS/IP restrictions.
Developed advanced risk-mitigation features, including wick-detection filters and end-of-hour reversal stop-losses, significantly reducing maximum peak-to-valley drawdowns.