Quant Analytics Senior Associate

JPMorgan Chase & Co.•Wilmington, DE

About The Position

As a Quantitative Data & Analytics - Senior Associate within the Consumer and Community Banking Data & Analytics organization, you will be tasked with the responsibility of supporting advanced analytics projects across various AML KYC operational functions, channels, and products.

Requirements

4+ years of related experience.
Bachelor's degree in a quantitative or related field required.
Hands-on experience with Alteryx and Tableau.
Familiarity with data mining, statistical modeling, machine learning and other advanced analytics methods.
Experience delivering analytics solutions following an Agile (Scrum or Kanban) methodology.
Collaborate with the Area Product Owners to formulate quantifiable goals for measurement; advise on strategies and experimentation required to achieve business goals.
Able to deliver quality analytics solutions individually without much support.
Able to make individual decisions and judgments to reach quality solutions.
Good project management skills.
Able to communicate effectively with Senior leaders to enable collaboration, decision-making, and transparency, with great presentation skills.
Entrepreneurial drive, ability to analyze problems, design solutions, and communicate effectively and confidently with relevant stakeholders to influence and gain buy-in across various job functions.

Responsibilities

Support and lead partnerships with AML KYC stakeholders and product groups, bringing a strong understanding of business drivers, underlying data, and processes to inform strategic decision-making.
Lead the development, reporting, and visualization of performance metrics and KPIs using analytical techniques such as trend analysis, segmentation, and optimization to improve business function performance and provide management with self-service tools to explore key metrics.
Collaborate with Area Product Owners to formulate quantifiable goals for measurement, advising on strategies and experimentation required to achieve business objectives.
Analyze interactions across a variety of channels to better understand customer journeys, friction points, and program performance, translating findings into actionable recommendations.
Prepare and deliver presentations summarizing sharp insights and conclusions for executives in regularly-scheduled analytics meetings chaired by the analyst in this role.
Support the team's production reporting environment, including answering stakeholder questions, troubleshooting issues, and enhancing existing processes while ensuring compliance with established controls and regulatory requirements.
Leverage AI-powered tools and technologies, including Large Language Models (LLMs) and assistants such as Microsoft Copilot, to improve efficiency and effectiveness. Maintain a working familiarity with AI concepts such as prompt engineering and generative AI approaches, with a curiosity and willingness to explore new applications of these tools to enhance workflows and outcomes.
Contribute to innovation and creativity within the team by actively proposing new ideas and approaches, and mentor junior analysts while continuously exploring new areas within the larger team.