Quant Analytics Manager

JPMorgan Chase & Co.; Wilmington (DE); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Vice President, Quant Analytics Manager to lead exploratory data analysis and reporting for AML/KYC controls partners.

You will manage a team and collaborate across the CCB Data Analytics organization to deliver scalable data solutions. The role emphasizes data-driven innovation, strategic analytics, and responsible governance with a focus on AI adoption and clear senior leadership communication.

Qualifications

• Education: Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Data Science, or related field).
• Experience: 8+ years delivering high-impact data solutions.
• AI enablement: Hands-on experience integrating AI agents to improve analytics delivery.
• Tools and programming: 5+ years with Alteryx, Python, Tableau.
• Data management: Proficiency in SQL and foundational data table operations; data architecture concepts.
• Analytical and communication: Ability to design/evaluate metrics and communicate technical concepts.
• People leadership: Experience managing diverse, multi-site teams.

Responsibilities

• Set the data & analytics strategy and roadmap.
• Lead and develop the Quant Analytics Data Analysts team.
• Partner with senior stakeholders to align deliverables with business needs.
• Drive advanced analytics delivery and translate needs into data solutions.
• Communicate impact to senior leadership with clear insights.
• Enable AI adoption and pilot new tools to boost speed and quality.
• Optimize resources to maximize business outcomes.
• Improve processes, governance, and risk/compliance within controls.

Skills

Analytical thinking

Communication skills

People leadership

AI enablement

Quantitative analysis

Education

Degree in a quantitative discipline

Tools

Alteryx

Python

Tableau

SQL

Job description

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 withAlteryx, Python, and Tableau.
• Data management:Proficiency inSQLand 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.