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Quant Analytics Senior Associate

JPMorgan Chase
Ohio, USA
Full-time
Senior · 3+ years experience
Onsite
Discovered 3 weeks ago

Full Job Posting

Job Responsibilities:

  • Design, develop, and maintain analytically ready datasets for AML/KYC operations, including datasets that support 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.
  • Required Qualifications, Skills and Capabilities:
  • 3+ years of related experience.
  • Bachelor's degree in a quantitative or related field required; Master’s degree preferred.
  • Excellent critical thinking and problem-solving abilities.
  • Proficiency in SQL and Python.
  • Experience with Alteryx and Tableau preferred.
  • Knowledge on how to integrate with APIs preferred.
  • Strong project management skills with the ability to manage multiple projects simultaneously.
  • Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods.
  • Robust data management skills with a focus on ensuring data quality and organization.
  • Demonstrated ability to independently make the decisions and judgements necessary to deliver quality analytics solutions.
  • Effective communication skills, both written and verbal.
  • Strong soft skills, including adaptability, emotional intelligence, and conflict resolution.
  • Strong adherence to controls and regulatory requirements.
  • Commitment to continuous learning and professional development.

Qualifications

  • Familiarity with data mining, statistical modeling, machine learning, and other advanced analytics methods.

Preferred Qualifications

  • Bachelor's degree in a quantitative or related field required; Master’s degree preferred.
  • Experience with Alteryx and Tableau preferred.

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