Build high-performance, workflow-driven client interfaces for institutional electronic trading platforms using TypeScript and React. Integrate front-end applications with C++, Python, distributed backend services, real-time data, and data pipelines. Translate complex trading and market-data workflows into intuitive experiences, optimize performance, establish UI engineering best practices, and contribute to reusable frameworks, component libraries, and developer tooling while collaborating with product, business, quantitative research, and engineering teams.

Conduct quantitative research for automated trading strategies by developing mathematical models, translating algorithms into code, backtesting trading signals, analyzing unconventional data, and refining monetization systems. Collaborate with senior researchers during an 11-week post-doctoral internship while applying advanced probability, statistics, machine learning, and time-series techniques to financial markets.

Develop and evolve investor-facing equities products using React and TypeScript. Partner with investors, product managers, UX designers, and engineering teams to understand workflows, prototype solutions, and deliver high-performance, data-intensive interfaces for research, risk analytics, portfolio analysis, and investment decisions. Own products end to end, from identifying user needs through launch and iteration, while maintaining high standards for quality, testing, performance, and maintainability.