Senior Quantitative Analytics Associate

Responsibilities

• Develop and maintain automated analytical workflows using Alteryx, Python, SQL, SAS, Snowflake, and Oracle/Teradata
• Translate high-level business requirements into executable analytical steps to improve process efficiency
• Build and execute strategies to identify correction populations and financial case execution files
• Support data validation and testing by researching system breaks and validating analytical requirements
• Partner with cross-functional teams to support regulatory process and control monitoring initiatives
• Automate manual processes involving large volumes of data through database querying and intelligent automation
• Communicate complex analytical findings clearly to process owners and business stakeholders

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 advanced Excel
• Experience querying relational databases such as Oracle or Teradata
• Strong problem-solving skills and the ability to manage multiple priorities in a fast-paced environment
• Excellent verbal and written communication skills for presenting complex information to diverse audiences

Preferred Qualifications

• 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

About the Company

Chase is a leading financial services firm, helping nearly half of America’s households and small businesses achieve their financial goals through a broad range of financial products. Our Consumer & Community Banking division serves customers through personal banking, credit cards, mortgages, and more, leveraging data to build competitive advantages and provide value and protection for customers.