Job Summary

As Vice President, Quant Analytics Manager, you will lead exploratory data analysis and reporting for key partners within the Anti-Money Laundering/Know Your Customer (AML/KYC) controls organization. You will drive data-driven innovation to solve complex business problems, manage a team of Quant Analytics Data Analysts, and build strong partnerships across the CCB Data Analytics organization and other functional groups to deliver scalable, high-impact data solutions.

Key Responsibilities

• Set the data & analytics strategy: Define and execute a roadmap that solves critical business challenges and uncovers new opportunities.

• Lead and develop the team: Manage, coach, and grow a team of Quant Analytics Data Analysts; set priorities and uphold a culture of quality, accountability, and innovation.

• Partner with senior stakeholders: Serve as a primary analytics point of contact for executives and cross-functional leaders, ensuring deliverables align to business needs and measurable outcomes.

• Drive advanced analytics delivery: Provide hands-on leadership designing and delivering sophisticated analytical solutions, translating business needs into data strategies, approaches, and outputs.

• Communicate impact clearly: Present plans, progress, and results to senior leadership with crisp narratives, actionable insights, and transparent status reporting.

• Enable innovation and AI adoption: Stay current on analytics/AI trends; evaluate, pilot, and implement new tools and techniques (including AI agents) to improve speed, quality, and impact.

• Optimize resources for business outcomes: Allocate capacity and resources to maximize impact and influence outcomes tied to the organization’s P&L act as a recognized technical leader.

• Improve processes and governance: Identify and implement enhancements to processes, tooling, and governance; communicate recommendations effectively to business leaders.

• Uphold risk and compliance standards: Operate within defined risk parameters and compliance obligations, applying strong judgment and proactively strengthening the control environment.

Minimum Requirements

• Education: Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Data Science, or related field).

• Experience: 8+ years of demonstrated experience delivering creative, high-impact data solutions.

• AI enablement: Hands-on experience integrating AI agents to improve efficiency and effectiveness of analytics delivery.

• Tools and programming: 5+ years of advanced experience with Alteryx, Python, and Tableau.

• Data management: Proficiency in SQL and foundational data table operations; strong problem-solving skills; demonstrated understanding of data architecture design concepts.

• Analytical and communication skills: Curious, detail-oriented, and motivated by complex analytical challenges; ability to design/evaluate metrics aligned to business goals and communicate technical concepts to varied audiences.

• People leadership: Experience managing diverse, multi-site teams.