Quant Analytics Senior Associate

JPMorgan Chase

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: OHDE
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

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At a glance

TL;DR · Quant Analytics Senior Associate

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The Quant Analytics Senior Associate joins the Data & Analytics organization supporting AML/KYC operations to modernize how data identifies financial crime risk and improves customer due diligence. You will design, build, and maintain analytically ready datasets, transforming customer, transaction, and activity data into governed, AI-ready assets for analysts, operational stakeholders, and natural-language query tools. Your daily work involves building scalable ETL processes, developing metadata, and creating data quality checks to identify emerging risks and process gaps. You will utilize SQL and Python as primary tools for data extraction, transformation, and profiling, while leveraging AI-assisted code generation. The role requires expertise in data mining, statistical modeling, and machine learning to solve complex business problems within a regulated environment, ensuring all data products meet strict governance and privacy standards.

Skills

SQL Python ETL Data Engineering Data Quality Data Governance Alteryx Tableau APIs Machine Learning Statistical Modeling Data Mining

What you'll do

Design and maintain analytically ready datasets for AML/KYC operations to support proactive monitoring and trend detection.
Build scalable ETL and data transformation processes to convert raw source data into reusable data products.
Develop AI-ready metadata, business definitions, and semantic layers to enable natural-language querying and AI agents.
Use Python and SQL to perform data extraction, transformation, profiling, validation, and performance optimization.
Create data quality checks, reconciliation routines, and validation frameworks to ensure data accuracy and completeness.
Provide production support by troubleshooting data issues, managing enhancements, and communicating source-system changes.
Ensure all data transformation and AI-enablement activities comply with regulatory standards and data governance requirements.

What we're looking for

3+ years of related experience.
Bachelor's degree in a quantitative or related field; Master’s degree (preferred).
Proficiency in SQL and Python.
Experience with Alteryx and Tableau (preferred).
Knowledge on how to integrate with APIs (preferred).
Experience with ETL processes and data transformation.
Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods.
Strong project management skills with the ability to manage multiple projects simultaneously.