Quant Analytics Associate I - Data Validation

JPMorgan Chase & Co.•Wilmington, DE

33d•Onsite

About The Position

We offer an exciting opportunity to make a meaningful impact on customer experience by ensuring the accuracy of account corrections. As a Quant Analytics Associate I, you will be part of a dynamic team dedicated to upholding data integrity and compliance. You will collaborate with experts across multiple business lines to deliver high-quality solutions. Your work will directly contribute to the trust our customers place in us. Join us and help shape the future of Consumer and Community Banking. As a Quant Analytics Associate I - Data Validation at JPMorgan Chase within the Remediation and Correction team, you will play a critical role in identifying, classifying, and correcting customer impacts caused by business process or operational breaks. You will work closely with Business Analysts, Correction Analysts, and Testing Analysts to ensure accurate account corrections. Your responsibilities will include validating data, reviewing code, and ensuring compliance with regulatory guidelines. This role requires strong analytical and communication skills, and adherence to personal account dealing policies is required for the position. You will be part of a collaborative environment focused on delivering high-quality results.

Requirements

Minimum of 3 years experience in Data Validation role, with expertise in SQL/SAS code analysis and query writing.
Ability to understand and analyze complex queries under tight deadlines.
Experience running multiple UNIX scripts simultaneously.
Thorough knowledge of database partitioning systems and their functions.
Advanced querying skills in SAS, SQL, and Snowflake environments.
Strong analytical and problem-solving skills.
Ability to validate data and data sources effectively.
Excellent communication skills (written and verbal).
Detail-oriented with a focus on quality.
Team player with the ability to work independently.
Bachelor's Degree or equivalent experience.

Nice To Haves

Experience in Auto or Wealth Management environments
Familiarity with finance charges and fee structures.
Knowledge of regulatory requirements in banking.
Experience with large-scale data correction projects.
Ability to document and present findings to senior management.
Proficiency in additional programming languages or Object-Oriented programing (e.g., Python, R).
Strong organizational and time management skills.

Responsibilities

Develop and create code by reviewing business requirements across multiple Lines of Business in CCB.
Validate data and data sources to ensure accuracy in account corrections.
Write independent queries and run checks to validate population and output files.
Trace and effectively communicate coding defects to relevant stakeholders.
Document data validation plans and findings/defects.
Ensure correct formatting and logic of all output files.
Collaborate with team members to resolve complex data issues.
Adhere to regulatory guidelines and best practice standards.
Support process improvements and quality initiatives.
Communicate findings and recommendations clearly.
Manage multiple tasks and priorities in a fast-paced environment