Automate Compliance: Replace manual processes with scalable solutions.
Bridge the Gap: Translate regulatory requirements into data points and priorities.
Build data literacy: Promote self-service analytics and data-driven decisions.
Monitor Risk: Design frameworks to detect compliance gaps across the platform.
Own Data Integrity: Partner with Engineering to ensure accurate, auditable data.
Drive Strategy: Define cross-functional initiatives to make compliance data-driven.

🎯 Requirements

Technical: SQL, Python, PySpark; Big Data with Spark, Airflow, Git.
Strategic: Collaborate with non-technical teams and translate needs into plans.
Detail-oriented: Pinpoint inaccuracies in large datasets.
Automation-First: Identify and prioritize automation opportunities.
Background: Experience in Compliance, Finance, or Risk in regulated banking.

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