Research Engineer — Backtesting / Validation

Research Engineer — Backtesting & Validation (E-sports)

We are building a quantitative research platform from scratch in the e-sports domain and are looking for a Research Engineer to join the team at an early stage.

The platform works with rich historical and real-time match data, as well as external signals derived from competitive games. This role is focused on backtesting, validation, and aligning simulated results with real-world outcomes, working closely with both research and engineering teams.

This is a foundational role — your early technical and methodological decisions will directly influence how the platform evolves over time.

What you’ll do:

• Design and implement backtesting and simulation infrastructure for e-sports match data
• Continuously tune and improve backtesting logic by comparing simulations with real match outcomes
• Validate research outputs and performance metrics
• Build sanity checks and detect overfitting or bias
• Collect live external data via APIs and web scraping
• Deploy, run, and maintain data pipelines in a cloud environment

What we’re looking for:

• Strong Python skills (production-grade, not notebook-only)
• Experience with data ingestion via APIs and web scraping (HTTP, async, rate-limit aware)
• Hands-on experience with cloud infrastructure
• Docker experience
• Background in backtesting or simulation systems
• Solid understanding of statistics
• Interest or experience in e-sports, game telemetry, or match-level data
• Comfortable working in greenfield systems with messy, imperfect data