Get more replies from employers
Send a job-specific resume in minutes.
Unchain Data is seeking a Compliance Data & Models Lead to manage compliance model risk and oversee data programs across transaction monitoring and risk rating. The ideal candidate will have extensive experience in Financial Crime technology, strong SQL skills, and a proven ability to collaborate cross-functionally.
This role involves ensuring compliance data accuracy and integrity, automating reporting, and enhancing technology controls. Candidates with 7-10 years of experience in data analytics and a focus on AML/sanctions are encouraged to apply.
Today's financial infrastructure is archaic, expensive, inefficient and risky — supporting a system that leaves out more people than it lets in. So we're rebuilding it.
We're on a mission to open the world's financial system to everyone by enabling the instant movement of any asset, any time, in a trustworthy way. For over a decade, we've built blockchain infrastructure that tokenizes, custodies, trades and settles assets for the world's leading financial institutions, like Mastercard, Visa, Robinhood, and PayPal.
The Compliance team at Paxos plays a vital role in ensuring the company adheres to global regulatory standards across financial products and services. This team tackles complex challenges such as AML, sanctions, and transaction monitoring, all while ensuring a robust compliance framework in a rapidly evolving crypto and fintech landscape. By safeguarding Paxos against regulatory risks, the team is essential in helping the company achieve its mission of creating a more transparent and efficient financial ecosystem.
The Compliance Data & Models Lead is the second-line owner of Paxos' compliance model risk management and technology/data program across transaction monitoring, blockchain monitoring, sanctions screening, and customer risk rating. They design and run the governance, testing, tuning, data-lineage/quality checks, and change-management processes that keep these models and tools effective, auditable, and scalable. In parallel, they lead broader compliance data and technology oversight, ensuring the accuracy and integrity of compliance data and enabling reliable, automated reporting and AI-enabled controls.