Good compliance analytics depends entirely on good data infrastructure. At a global crypto exchange, that infrastructure has to handle on-chain transaction data, fiat flows, KYC and KYB records, and behavioural signals across multiple jurisdictions, all in a form that data scientists and analysts can actually use. This role exists to build and own that foundation, and the quality of what gets built here directly shapes what the compliance function is capable of detecting.

 

You will work closely with data scientists, ML engineers, analytics engineers, and compliance specialists as a core part of the team that delivers compliance intelligence at scale. The infrastructure you build is not internal plumbing; it is what enables detection models to run, self-serve analytics to function, and regulatory responses to be grounded in reliable, traceable data.

 

AI-assisted engineering is how this team works. We use LLM tooling to accelerate pipeline development, automate documentation, improve code quality, and move faster on complex data problems. We are looking for a data engineer who already works this way and can bring that practice into a compliance data environment where reliability and auditability are non-negotiable alongside speed.