Vice President Screening Efficiency & Analytics Strategy Lead

JPMorgan Chase

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Work type
On-site
Location
Tampa, FLNewark, DE
Posted
3 days ago
Freshness
Confirmed live today

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Similar $178k
$133k most similar roles pay here $221k

This listing doesn't post a salary. Most similar roles pay $143,613–$212,939.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1138 open roles on FindRole.

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At a glance

TL;DR · Vice President Screening Efficiency & Analytics Strategy Lead

As the Vice President – Screening Efficiency & Analytics Strategy Lead, you will join the team to lead the transformation of sanctions screening performance measurement and analysis. You will move the organization from reactive reporting toward predictive insights to reduce false positives, improve operational efficiency, and accelerate automation across the infrastructure. Your daily responsibilities include developing enterprise metrics frameworks, establishing governance standards for data lineage, and performing root-cause analyses on alert volumes and match rates. You will identify automation opportunities, build business cases for machine learning-assisted solutions, and translate complex datasets into decision-ready narratives for executive leadership. The role requires expertise in banking operations, specifically within AML, sanctions, or fraud analytics. Required technical skills include Advanced SQL, Python or R, Alteryx, and expert-level Tableau or Power BI, along with experience using Hadoop, Snowflake, or AWS data lakes.

What you'll do

  • Develop and maintain an enterprise metrics framework including KPI scorecards and leading/lagging indicators for sanctions screening.
  • Establish governance standards for metric definitions, data lineage, and auditability to support regulatory exams and change management.
  • Analyze alert and investigation data to identify and quantify the primary drivers of false positives.
  • Perform root-cause analyses on volume trends, hit rates, and backlog drivers to provide data-driven tuning recommendations.
  • Map the end-to-end sanctions workflow to identify operational bottlenecks, rework, and queue imbalances.
  • Identify and build business cases for automating high-volume, low-risk outcomes using rules-based or machine learning models.
  • Design and deploy automated dashboards that translate complex datasets into decision-ready narratives for executive leadership.

What we're looking for

  • Bachelor's degree or equivalent practical experience.
  • Master's degree in Data Science, Statistics, Mathematics, or an MBA with a heavy analytical focus (preferred).
  • 5+ years of experience in Data Analytics or Business Intelligence.
  • Banking operations domain expertise in client/transaction screening, AML, sanctions, or fraud analytics.
  • Demonstrated data stewardship and controls mindset including data quality, lineage, and auditability.
  • Proven communication skills to translate complex analytics into leadership-ready narratives for technical and non-technical stakeholders.
  • Experience with big data platforms (e.g., Hadoop, Snowflake, AWS) and Advanced SQL.
  • Proficiency in Alteryx, Python, or R and expert-level Tableau or Power BI.

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