We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients. At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute. To learn more about CIBC, please visit CIBC.com The US Anti-Money Laundering (AML) Transformation, Delivery, and Insights (TDI) team is a forward-thinking risk analytics group dedicated to driving innovation in anti-money laundering through advanced data analytics, technology, and strategic transformation. The team enhances the bank’s capabilities in transaction monitoring, customer risk rating, sanctions screening, and data governance, helping to ensure CIBC remains at the forefront of financial crime prevention. What You’ll Be Doing Reporting to the Senior Manager, AML TDI Transaction Monitoring (TM), the Consultant is a key member of the team. This person will be business-focused, analytically strong, and comfortable partnering with technology teams. The Consultant collaborates with AML internal business partners and fellow TDI colleagues to provide business oversight and validate outputs for US DataHub (USDH) to SAS Viya data feeds, SAS Viya Prep Datasets outputs, and SAS Viya data objects that support Transaction Monitoring. The role supports transaction monitoring rules operations approximately 20–30% of the time, partnering with rule owners and platform teams to ensure data and configuration changes are implemented accurately. Primary responsibilities (70–80%): Lead business requirements for Transaction Monitoring data needs, including definitions, business rules/logic, data quality expectations, and acceptance criteria. Partner with technology and data teams to ensure USDH to SAS Viya feed changes and SAS Viya Prep Dataset outputs align to business intent (you define the “what” and “why”; teams deliver the “how”). Lead business UAT by replicating business logic and comparing results between source and target outputs; document evidence, identify gaps, and manage issues through resolution. Perform business-level data validation and reconciliation (e.g., completeness, reasonableness, outputs aligned to requirements, and key field checks) and escalate data quality concerns to the AML Data Governance Team Coordinate cross-functional delivery activities (requirements walkthroughs, backlog grooming inputs, UAT planning, release readiness) and ensure traceability from requirement to test evidence. Secondary responsibilities (20–30%): Support TM rules operations by documenting change intent, coordinating testing/validation, and confirming rule behavior aligns with business requirements. Support audits, regulatory reviews, and governance activities by producing clear documentation, responding to inquiries, and maintaining evidence packages. Assist senior team members with Model Risk Management documentation and support new projects and initiatives. At CIBC, we enable the work environment most optimal for you to thrive in your role. You’ll have the flexibility to manage your work activities within a hybrid work arrangement, spending 2-3 days per week on-site in our Chicago office, with the remaining days working remotely. How you'll succeed You give meaning to data. You turn transactional data into practical insights by validating feeds, diagnosing issues, and communicating concise, actionable findings to stakeholders. You translate business needs into clear requirements. You define testable requirements, acceptance criteria, and business logic that teams can implement and validate. You ensure data is fit-for-purpose. You assess completeness and reasonableness of USDH to SAS Viya feed outputs and Prep Dataset results, with particular focus on transactional and payment data, and articulate business impact when issues arise. You lead business UAT with discipline. You replicate business logic, compare expected vs. actual outputs, document evidence, and drive timely defect resolution. You collaborate for impact. You work closely with AML stakeholders, technology, model validation, and data teams to ensure outcomes meet transaction monitoring objectives and governance expectations. You communicate clearly. You deliver concise updates and recommendations to both technical and non-technical audiences. You deliver under pressure. You efficiently manage multiple priorities, supporting business-as-usual activities, projects, audits, regulatory reviews, and model validation documentation in a fast-paced environment. You embrace innovation. You look for ways to improve existing processes and stay current with industry best practices in AML analytics and data science. Values matter to you. You bring your real self to work, and you live our values – trust, teamwork, and accountability.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed