Quant Analytics Sr Associate

JPMorganChase • Wilmington, NC

3d

About The Position

As a Sr Quant Associate, you will be a key member of the Commerce Enablement Analytics team within the broader Data and Analytics organization. You will work closely with Commerce Enablement Product Owners to deliver descriptive, diagnostic, predictive, and prescriptive analytics, with a focus on Controls, Risk, and Regulatory areas. You will work with Product Owners to determine if, where, when, how, and whom to engage with customers by defining metrics, sourcing data, developing queries, and creating reports.

Requirements

• Intermediate knowledge of SQL, Alteryx, and Tableau.
• Bachelor’s degree and 3+ years of analytics experience.
• Knowledge of Adobe Analytics.
• Experience with AWS, Snowflake, Oracle, and SQL databases.
• Ability to explain and convert complex concepts into digestible information for audiences with varying levels of expertise.
• Intellectual curiosity, eagerness to learn, and an eye for innovation.
• Initiative and ability to complete projects and tasks independently.
• Strong organization and ability to prioritize multiple tasks.
• Good written and oral communication skills.
• Operational business knowledge of processes, data, controls, and technology platforms.
• Familiarity with cloud-based data solutions and tools, including AWS and Snowflake.

Nice To Haves

• Functional industry experience in operations, marketing, credit or risk, technology, or finance.
• Intermediate knowledge of Machine Learning and Copilot.
• Strong SQL skills, including using multiple joins, subqueries, and advanced functions in enterprise-scale database environments such as Snowflake and AWS.
• Demonstrated experience with business intelligence and data-wrangling tools such as SAS EG, SAS Viya, Python, Snowflake, and Alteryx.
• Experience with visualization techniques for data analysis and presentation; Tableau is preferred.
• Basic skills with JIRA and Confluence.
• Proficiency in Microsoft Word, Excel, and PowerPoint.

Responsibilities

• Understand and translate business needs into data models that support long-term solutions.
• Create data points using best practices to ensure high data quality and reduce redundancy.
• Rationalize complex normalized data sets to enable easier cross-organizational consumption.
• Partner and collaborate with Product, Data Management, Strategy, Technology, and broader Data and Analytics teams across functional units to understand business requirements and objectives.
• Translate data into meaningful insights and present a compelling story to stakeholders to support decision making.
• Produce, optimize, and automate recurring reports.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level