Senior Quant Analytics Engineer, AML/KYC Data & AI-Ready

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 110,000 - 150,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Quant Analytics Associate Sr to modernize AML/KYC data usage, building analytics-ready datasets and AI-friendly metadata for proactive risk detection. You will partner with AML/KYC operations and data owners to transform transactions, customers, and activity data into governed, AI-ready data assets.

The role emphasizes hands-on data engineering, analytics controls, and business problem solving to advance decision support in AML/KYC operations.

Qualifications

• 3+ years of related experience in data analytics or AML/KYC context.

Responsibilities

• Design, develop, and maintain analytically ready AML/KYC datasets for proactive monitoring, case prioritization, customer review insights, trend detection, and data quality surveillance.
• Build scalable ETL and data transformation processes that convert raw source-system data into reliable, well-structured, reusable data products for the broader Data & Analytics team.
• Develop AI-ready metadata, business definitions, lineage documentation, data dictionaries, and semantic layers that enable AI agents, self-service analytics, and natural-language querying.
• Use Python/SQL as the primary tool for data extraction, transformation, profiling, validation, and performance optimization across large and complex datasets.
• Apply Python and AI-assisted code generation tools to improve development speed, automate repetitive analytics tasks, create reusable utilities, and support exploratory data analysis.
• Collaborate with analytics and AI teams to ensure datasets are structured for downstream model development, AI-agent orchestration, retrieval-augmented workflows, and natural-language business questions.
• Create data quality checks, reconciliation routines, exception monitoring, and validation frameworks to ensure ARDs are accurate, complete, timely, and fit for purpose.
• Prepare clear documentation and executive-ready presentations summarizing data findings, ARD readiness, development progress, data quality risks, and recommended next steps.
• Provide ongoing production support for data assets, including troubleshooting data issues, answering stakeholder questions, managing enhancements, and communicating impacts of source-system changes.
• Ensure analytics, data transformation, and AI-enablement activities comply with applicable controls, model/data governance expectations, privacy requirements, and regulatory standards.
• Contribute to a culture of innovation by proposing new approaches for data modernization, metadata enrichment, AI enablement, and proactive risk identification.

Skills

SQL

Python

APIs

Project management

Data mining

Statistical modeling

Machine learning

Communication

Adaptability

Data quality

AI-assisted coding

Education

Bachelor's degree in quantitative field

Master’s degree preferred

Tools

Alteryx

Tableau

Job description

JPMorgan Chase & Co. seeks a Quant Analytics Associate Sr to modernize AML/KYC data usage, building analytics-ready datasets and AI-friendly metadata for proactive risk detection. You will partner with AML/KYC operations and data owners to transform transactions, customers, and activity data into governed, AI-ready data assets.

The role emphasizes hands-on data engineering, analytics controls, and business problem solving to advance decision support in AML/KYC operations.