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As a Vice President - Screening Service Efficiency & Analytics Strategy Lead within JPMorgan Chase, you will lead the transformation of how sanctions screening performance is measured, analyzed, and improved—shifting the organization from reactive reporting to predictive, actionable insights that reduce false positives, improve performance, optimize end-to-end operational efficiency, and accelerate automation opportunities across the sanctions screening infrastructure and workflow. You will serve as a bridge between analytics/technology teams and operations, compliance, and governance forums, translating complex data into clear “brutal truth” narratives and decision-ready executive reporting.
Job Responsibilities
- Develop and maintain an enterprise metrics framework for sanctions screening, including KPI scorecards and leading/lagging indicators, with clear definitions, sources, and reporting cadence.
- Establish governance standards for metric definitions, data lineage, assumptions, and auditability; maintain documentation to support reviews/exams and change management controls. Lead recurring stakeholder forums to present insights, drive decisions, and track benefits realization from tuning, process changes, and automation.
- Analyze alert/case/disposition/investigation data to identify and quantify drivers of false positives (e.g., name commonality, geography, list updates, transliteration patterns, and data quality issues).
- Produce recurring trend and root-cause analyses on volumes, hit/true match rates, aging/throughput, and backlog drivers; segment performance by scenario/filter, list source, business/product, jurisdiction, and customer/entity attributes. Deliver data-driven tuning recommendations (e.g., threshold adjustments, token/alias handling, matching logic refinements, and data standardization), including pre/post measurement and regression monitoring.
- Define, monitor, and evolve filter/service KPIs (e.g., alert-to-customer ratio, override rates, repeat-alert rates, list refresh impact, etc)
- Perform structured performance reviews after watchlist updates, ruleset releases, parameter changes, and vendor upgrades; build monitoring to detect drift, sudden spikes, or unusual match patterns and trigger investigations/corrective actions.
- Map the end-to-end sanctions workflow and use data to identify bottlenecks, rework, duplicate effort, and queue imbalance; generate insights on cycle times, handoffs, productivity, and quality outcomes (e.g., reopen rates, QA outcomes, escalation patterns).
- Recommend process control improvements (e.g., triage logic, prioritization schemes, standardization of dispositions, workload routing) with clear success metrics and benefits tracking.
- Identify opportunities to automate low-risk, high-volume outcomes (e.g., repeat false positives, deterministic negative matches, smart routing, etc) and prioritize based on impact and control considerations.
- Build business cases for automation (expected alert reduction, capacity released, control impacts, residual risk) and partner with technology teams to implement analytics-enabled automation (rules-based and ML-assisted). Deliver advanced analytics capabilities (predictive modeling, segmentation, optimization, forecasting) and ensure outputs translate into operational/technology requirements with clear acceptance criteria.
- Design and partner with stakeholders to deploy automated dashboards and recurring reporting tailored to operational, risk/compliance, and executive audiences (e.g., queue health/throughput, QA trends and breach alerts, strategic KPIs and cost-per-alert). Translate complex datasets into clear, decision-ready narratives for senior leaders and governance forums, moving beyond spreadsheets to actionable insights and recommendations.
Required qualifications, capabilities and skills
- 5+ years in Data Analytics / Business Intelligence
- Banking operations domain expertise, with experience in client/transaction screening; AML, sanctions, or fraud analytics experience
- Demonstrated data stewardship & controls mindset: implementing data quality controls, lineage/traceability, and documentation supporting auditability and governance
- Proven communication and stakeholder management: ability to translate complex analytics into leadership-ready narratives and influence technical and non-technical stakeholders
- Experience with big data / modern data platforms (e.g., Hadoop, Snowflake, AWS data lakes) and Advanced SQL
- Proficiency in analytics tooling/languages: Alteryx, Python and/or R
- Data visualization & reporting: expert-level Tableau and/or Power BI (or similar) to deliver automated dashboards and management reporting
- Bachelor’s degree required (or equivalent practical experience)
Preferred qualifications, capabilities and skills
- Master’s degree preferred in Data Science, Statistics, Mathematics, or an MBA with a heavy analytical focus
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- 5+ years of experience in data analytics or business intelligence
- Banking operations expertise, including client or transaction screening
- Experience with AML, sanctions, or fraud analytics
- Experience implementing data quality controls, data lineage, traceability, and audit documentation
- Strong communication and stakeholder management skills
- Experience with big data and modern data platforms such as Hadoop, Snowflake, or AWS data lakes
- Advanced SQL skills
- Proficiency with Alteryx, Python, and/or R
- Expertise with Tableau, Power BI, or similar data visualization and reporting tools
- Bachelor's degree or equivalent practical experience
- Master's degree in Data Science, Statistics, Mathematics, or an analytically focused MBA
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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