Senior Business Systems Analyst

the Client•Chicago, IL

3d•Hybrid

About The Position

The AML Reporting, Data Governance & Analytics Lead will own AML reporting, metrics, dashboards, analytics, and governance activities supporting the U.S. AML Transformation, Delivery and Insights organization. This team supports the U.S. AML (Anti-Money Laundering) organization through reporting, analytics, data governance, business intelligence, and technology enablement. The group delivers AML metrics, executive reporting, dashboards, AML Risk Assessment reporting, data quality oversight, and reporting governance across transaction monitoring, customer risk rating, sanctions screening, and regulatory reporting. This is a BAU-focused role supporting AML reporting, analytics, and data governance initiatives across the U.S. AML portfolio. The contractor will lead AML metrics, dashboards, AML Risk Assessment data activities, reporting controls, data governance, and analytics delivery while partnering with AML, Technology, and Data Governance stakeholders. This is a high-visibility role with a strong contract-to-hire opportunity and significant likelihood of permanent conversion.

Requirements

Strong hands-on SQL and Python experience.
Experience building dashboards, reporting datasets, scorecards, and visual analytics.
Deep understanding of Transaction Monitoring.
Deep understanding of Customer Risk Rating.
Deep understanding of Sanctions/Screening.
Deep understanding of AML Risk Assessment (AMLRA).
Deep understanding of AML Metrics and Reporting Governance.
Experience with data governance, data quality, controls, lineage, and reporting documentation.
Strong business-facing analytics and business intelligence experience.
Experience communicating insights to executive stakeholders.
Exceptional stakeholder management and communication skills.
Strong leadership and collaboration abilities.
Advanced problem-solving and critical-thinking skills.
Ability to translate technical findings into business-friendly insights.
Strong documentation and organizational skills.
Ability to influence technical and non-technical audiences.
Detail-oriented with a strong focus on controls, quality, and governance.
7 years of AML, Financial Crimes, Risk, Compliance Reporting, Data Analytics, or Banking Technology experience.
5 years working with AML and financial services data.

Nice To Haves

SAS Viya (Visualize, Explore, CAS, Data Preparation, Automation, QA/QC).
Power BI.
Tableau.
Qlik.
Agile / SDLC delivery experience.
UAT execution and test planning.
Audit and regulatory exam support.
Financial Crimes Technology implementations.

Responsibilities

Own and deliver recurring AML metrics, reporting, dashboards, and executive-ready analytics.
Support AML Risk Assessment data deliverables, including sourcing, definitions, QA/QC, reconciliations, cadence management, and reporting outputs.
Lead the build and enhancement of SAS Viya reporting datasets, dashboards, visual analytics, and backend reporting pipelines.
Define reporting requirements, calculation logic, controls, documentation, user stories, acceptance criteria, and test plans.
Strengthen AML reporting lifecycle and reporting data governance, including data dictionaries, lineage, controls, evidence, and data quality monitoring.
Partner with AML, Technology, Data Governance, and senior stakeholders to resolve issues and deliver clear, decision-ready insights.
Lead reporting lifecycle management and continuous improvement initiatives.