Senior Quantitative Analytics Associate

JPMorgan Chase & Co.•Wilmington, DE

About The Position

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