Compliance Data & Models Lead

About Paxos

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.

About the team

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.

About the role

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.

What you'll do

• Own end‑to‑end model governance, tuning, testing, and documentation for transaction monitoring, blockchain monitoring, sanctions/watchlist screening, and customer risk rating models.

• Design and maintain scalable SQL models in Snowflake for above governance areas

• Familiarity with programming for data analysis, ideally Python or R.

• Maintain documentation on system integrations and data lineage, partner with the Data team on data quality controls

• Run and continuously refine model change‑management processes (change logs, approvals, pre/post‑implementation testing, evidence capture) to OCC‑style standards.

• Lead or co‑lead key Model Risk Management (MRM) policy and procedure uplift and regulatory readiness workstreams, consolidating and modernizing frameworks based on external feedback.

• Partner with Data, Product, Engineering, and Compliance to design and enhance technology controls across AML, sanctions, KYC, Travel Rule, and to resolve data or tooling issues.

• Build and maintain Compliance dashboards and reporting, define system performance and health metrics (including data quality and backlog/SLA metrics), and implement QA processes.

• Serve as a key liaison to key vendors (e.g., Chainalysis, Elliptic, ComplyAdvantage, Solidus, Persona) on testing, tuning, and data issues.

About you

• ~7–10+ years overall experience in data/analytics and/or Financial Crime/Compliance.

• At least 3–5 years directly focused on AML/sanctions/Financial Crime technology or models in a bank, fintech/crypto, or RegTech.

• Strong SQL in a modern data warehouse

• Hands‑on experience with AML/sanctions/Financial Crime systems (e.g., TM, sanctions screening, blockchain analytics, CRR).

• Experience designing and executing model tuning and testing (thresholds, fuzziness, scenario design, performance analysis).

• Familiarity with model governance concepts (lifecycle, documentation, change management, validations).

• Exposure to OCC‑style model risk guidance and/or DFS 504‑type requirements.

• Demonstrated ability to work cross‑functionally with Product, Engineering, Data, and Operations.

• Excellent written communication for policies, procedures, testing reports, and exam/audit responses.