Conduct quantitative research for algorithmic trading and market-making strategies. Design, test, deploy, and monitor models supporting pricing, risk, and execution. Build research and backtesting tools, analyze large datasets and model outputs, and collaborate with traders, developers, and senior researchers to translate hypotheses into production trading decisions. Continuously improve strategies based on market dynamics, data drift, and performance results.

Designs and maintains data visualization, reporting, and business intelligence platforms. Builds Python frameworks, dashboards, reporting applications, and analytics solutions for traders, quants, and developers. Optimizes data access and query performance, supports Looker, BigQuery, Plotly Dash, and Jupyter Notebooks, translates stakeholder requirements into technical solutions, and leads migrations across tools, libraries, and data sources.