Analytics Engineer

WHO IS RISK LABS?

Risk Labs is the foundation and core team behind UMA and Across. The Risk Labs team operates as one cohesive culture, but focuses on two core protocols: UMA and Across. UMA and Across are decentralised protocols governed by community members across the globe in DAOs, and are supported by Risk Labs Foundation. UMA's optimistic oracle (OO) can record any verifiable truth or data onto a blockchain. Across is leading the future of interoperability with its frontier intents-based architecture.

We are a remote-first, globally distributed team focused on building infrastructure that pushes crypto forward.

WHY THIS ROLE EXISTS

This is the first analytics engineering role at Risk Labs. The transformation layer has reached a level of complexity that demands a dedicated owner, and right now that work is distributed across people hired to do other things. You'll sit within Data Engineering, reporting to the Platform Engineering Lead, and work most closely with our Data Analytics Lead and Product team as your primary stakeholders.

We are serious about building a truly agentic data platform, and this hire is a prerequisite for that. Agentic systems are only as good as the data they run on. Without deterministic, well-governed, and consistently-defined data served from a single authoritative source, any AI initiative we pursue is built on unstable ground. This role is the foundation that makes all of it possible.

WHAT YOU'LL OWN

1. The Transformation Layer You are the DRI for everything between raw ingestion and the clean data layer. You own the modelling strategy and are trusted to push back when a request would compromise what we've built. You work with the Analytics Lead to align on priorities and with Platform on infrastructure constraints.

2. Refactor and Legacy Migration We have inherited complexity: undocumented logic, redundant models, and systems built for speed rather than longevity. You'll audit what we have, cut what we don't need, and rebui...