Senior Quant Analytics for AML/KYC Data & AI

JPMorganChase; Columbus (OH); On-site; USD 110,000 - 160,000; Full time

Job summary

Chase seeks a Quant Analytics Associate Sr to modernize AML/KYC data usage. You will design analytically ready datasets, build scalable ETL processes, and develop AI-ready metadata for AI agents and self-service analytics.

The role requires strong SQL/Python skills, data governance awareness, and collaboration with analytics teams to enable proactive risk detection and improved customer due diligence.

Qualifications

• 3+ years of related experience.
• Bachelor's degree in a quantitative field; Master's preferred.
• Proficiency in SQL and Python.

Responsibilities

• Design, develop, and maintain analytically ready datasets for AML/KYC operations.
• Build scalable ETL and data transformation processes.
• Develop AI-ready metadata, data dictionaries, and semantic layers.
• Use Python/SQL for data extraction, profiling, and optimization.
• Provide production support and documentation for data assets.

Skills

SQL

Python

ETL

Alteryx

Tableau

APIs

Data mining

Problem solving

Communication

Education

Bachelor's degree in quantitative field

Master's degree preferred

Tools

Tableau

Airflow

Git

Job description

Chase seeks a Quant Analytics Associate Sr to modernize AML/KYC data usage. You will design analytically ready datasets, build scalable ETL processes, and develop AI-ready metadata for AI agents and self-service analytics.

The role requires strong SQL/Python skills, data governance awareness, and collaboration with analytics teams to enable proactive risk detection and improved customer due diligence.