Portfolio Performance Analytics Specialist

JPMorganChase

Newark (DE)

In loco

USD 90.000 - 130.000

Tempo pieno

8 giorni fa

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Descrizione del lavoro

JPMorgan Chase & Co. is seeking a Portfolio & Performance Analyst in the Portfolio Analysis Group (PAG).

You will handle performance measurement, data validation, and portfolio analytics for external clients, delivering independent analysis to portfolio managers, advisors, and senior leadership. You will support front-office Advisors with ad hoc inquiries, perform rate-of-return calculations and attribution, and work with legacy systems as they integrate into modern performance tools.

Competenze

  • Experience in performance measurement and data validation for asset management.
  • Strong academic foundation in finance, economics, math, or CS.
  • Knowledge of GIPS and related composites is a plus.

Mansioni

  • Own performance measurement for JPMWM and legacy platforms with rigorous analysis.
  • Provide independent analysis for internal stakeholders including PMs and advisors.
  • Deliver performance reporting, attribution, and risk analytics with accuracy.
  • Support front-office inquiries with detailed account-level analyses.
  • Contribute to strategic performance technology projects and requirements.
  • Assist in testing and documentation for PAG projects.
  • Collaborate across teams to improve data quality and service offering.

Conoscenze

Performance measurement
Analytical skills
Communication
GIPS/CIPM/CFA
Stakeholder liaison

Formazione

Bachelor's in Finance/Economics/Mathematics/CS

Strumenti

Mainframe systems
Performance software
Data validation tools

Descrizione del lavoro

JPMorgan Chase & Co. is seeking a Portfolio & Performance Analyst in the Portfolio Analysis Group (PAG).

You will handle performance measurement, data validation, and portfolio analytics for external clients, delivering independent analysis to portfolio managers, advisors, and senior leadership. You will support front-office Advisors with ad hoc inquiries, perform rate-of-return calculations and attribution, and work with legacy systems as they integrate into modern performance tools.

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