Ari Eaton

Quantitative Analyst — eFX Trading

Boston, MA aeaton@wesleyan.edu linkedin.com/in/ari-eaton arieaton.com

Work Experience

State Street

AVP, Quant — eFX

Quant — eFX

  • Optimized FIX session handling, reducing disconnects by 80%+ and eliminating associated resubscription overhead across currency pairs and tenors, while reducing operational risk from trade timeout incidents.
  • Created AI bot infrastructure on an MCP server and the State Street AI API, automating operational processes like position checks and opening access to proprietary data for non-technical users.
  • Built a scalable framework for AI-powered applications on TickDB, enabling rapid iteration and deployment of future intelligence tools.
  • Optimized skew class calculations, reducing latency and improving accuracy in real-time quoting.
  • Led automated monitoring and reporting enhancements across trading systems, reducing manual oversight and improving operational visibility.
  • Conducted self-guided research on signal generation and optimization, identifying ways to improve portfolio performance.
  • Pitched a new business opportunity leveraging existing database infrastructure to senior leadership.

State Street

Professional Development Program

  • eFX Market Making
    • Implemented and evaluated a high-frequency autoregressive model.
    • Implemented Symphony API integration enabling real-time data access and interaction within the messaging platform.
    • Designed analysis tools to automate pricing evaluation and improve reporting efficiency.
  • eFX Benchmarks
    • Improved tooling for benchmarking execution performance and market selection effectiveness.
    • Developed a visualization framework to streamline signal generator testing and validation against production standards.
    • Built a backtesting tool to analyze parameter changes and quantify PnL outcomes, enabling data-driven optimization of execution strategy.

State Street

Intern

  • Used MATLAB to research and backtest an EM FX hedging strategy based on a deployed G10 approach.
  • Worked with the Indirect and StreetFX sales teams to automate a daily task in Python, saving 5 hours a month.
  • Combined proprietary indicator data with industry-standard signals to produce the August FX Hedging Monitor publication.

Education

Wesleyan University

B.A., Computer Science

  • Minor in Integrated Design, Engineering, and Applied Science (IDEAS). Ski team captain.

Projects

poker Play poker against a computer that's actually good at it. arieaton.com/poker battleship Play battleship against a computer, with a helper that tells you where to shoot next. arieaton.com/battleship

Skills & Interests

Technologies
Java, JavaScript / HTML / CSS, Python, React, MATLAB
Interests
Backpacking, climbing, snowboarding, skateboarding, ice skating, biking, camping

Honors

Adam Lewis Scholar Athlete Award — awarded for performance in track and field and in the classroom.