Senior Quantitative Analytics Associate

JPMorganChase • Wilmington, NC

1d

About The Position

This role offers the opportunity to work at the intersection of data engineering, process automation, and business strategy — with real impact on customer outcomes and operational excellence. Join a collaborative team where your technical skills and curiosity will be valued and continuously challenged. As a Senior Quantitative Analytics Associate in the Card Pricing Execution team, you will play a critical role in developing analytical solutions, improving operational processes, and supporting regulatory and business initiatives. You will work closely with business stakeholders to translate complex requirements into executable analytical workflows, helping drive accurate and timely outcomes for customers and the organization.

Requirements

• Bachelor's degree required
• 3 years of experience in quantitative analytics, data analysis, or a related field
• Proficiency in at least two of the following: Python, SAS, SQL, Alteryx, or Excel (advanced level)
• Experience querying relational databases such as Oracle or Teradata
• Strong problem-solving skills with the ability to manage multiple priorities and deliver results in a fast-paced environment
• Excellent verbal and written communication skills, with the ability to present complex information clearly to both technical and non-technical audiences
• Demonstrated ability to work independently on complex assignments with minimal supervision
• Advanced proficiency in Microsoft Excel; working knowledge of Word and PowerPoint

Nice To Haves

• Experience with pricing analysis, financial services operations, or customer remediation workflows
• Familiarity with mainframe systems such as TSYS
• Knowledge of Snowflake or other cloud-based data platforms
• Exposure to AI-enabled workflow automation, LLM-assisted tools, or intelligent automation programs
• Experience supporting regulatory or compliance-related analytical processes
• Familiarity with anomaly detection concepts or rule-based automation frameworks

Responsibilities

• Develop and maintain automated analytical workflows using tools such as Alteryx, Python, SQL, SAS, Snowflake, and Oracle/Teradata to triage, prioritize, and resolve exceptions efficiently
• Translate high-level business requirements into executable analytical steps, identifying opportunities for simplification and process improvement
• Build and execute strategies to identify correction populations, financials, and case execution files for medium-to-high complexity scenarios
• Support data validation and testing by applying data logic expertise to research system breaks and validate analytical requirements
• Partner with cross-functional teams to support regulatory process and control monitoring initiatives
• Lead and contribute to standardization and business initiative projects, including planning, execution, and post-implementation validation using Alteryx, Excel, VBA, and mainframe systems
• Automate manual processes involving large volumes of data, querying databases such as Oracle and Teradata
• Communicate complex analytical findings clearly and compellingly to process owners and business stakeholders at all levels
• Evaluate opportunities to apply intelligent automation and AI-assisted tools to improve investigative analysis, workflow efficiency, and issue summarization

What This Job Offers

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