About Event Horizon Labs

We are building the Post-Human Trader.

Tech description:

An autonomous system that turns raw compute and data directly into alpha, executing without the friction or bias of human emotion.

Job description:

**Why this role exists**\ We need someone who can **build and own the research engine**—fast, reproducible pipelines that turn raw data into features, run leakage‑safe backtests with real costs, and ship robust signals to live. **What you’ll build (engineering-first)** * **Research runtime & backtester**: event‑driven core that is vectorized, profileable, and testable (purged CV, walk‑forward, costs/slippage, turnover/capacity). * **Data plumbing**: reliable ingestion and validation (schema checks, late/dirty data handling, idempotent jobs), dataset versioning, and columnar storage that makes experiments fast. * **Experiment infra**: one‑command runs, seed control, artifact tracking, CI checks, reproducibility guarantees. * **Prod handoff**: packaging signals with interfaces, telemetry, and alerts; safe rollout/rollback; performance + drift dashboards. **Day‑to‑day** * Prototype signals in Python, **profile and remove bottlenecks** (Numba/Polars/C++/Rust where it counts). * Write **deterministic tests** (unit + property‑based) around feature lags, fills, and cost models. * Make the backtest faster and safer every week (tail latencies, memory, numerical stability). * Partner with infra to get research code to **staging → live** with metrics and SLOs. **Must‑haves** * Strong Python with **vectorization/Numba** (or willingness to learn fast); practical SQL. * You’ve owned a data/ML/quant system **end‑to‑end** (ingest → compute → tests → deploy). * You can explain and implement **purged/embargoed CV**, leakage guards, and **transaction cost modeling**. * Comfort with containers (Docker) and CI; you treat reproducibility as a feature.

Event Horizon Labs remote jobs

Founding Engineer at Event Horizon Labs

Founding Quant Engineer