Senior Area Product Owner – Quantitative Risk Analytics

JPMorgan Chase & Co.; New York (NY); Sur place; USD 180 000 - 240 000; Plein temps

Résumé du poste

JPMorgan Chase & Co. is seeking an Area Product Owner for Quantitative Risk Analytics within the Investment Analytics Product Team.

You will drive the development of next generation risk models and own the vision for applications that support Wealth Management globally. The role requires a strong background in quantitative risk management, financial engineering, and product management for data platforms, with extensive experience in Agile/Scrum environments and collaboration across partners such

Qualifications

• Min 10 years in quantitative risk management, analytics or related fields.
• At least 5 years in product management for complex technical/data platforms.
• Strong knowledge of risk models and multi-factor methods across asset classes.

Responsabilités

• Plan and drive area strategy and roadmaps for risk analytics products.
• Collaborate with sponsors, technology, risk and compliance to align on vision.
• Define objectives and key results with stakeholders and teams.
• Prioritize work and lead sprint planning with SME guidance.
• Ensure delivery of scalable software and analytics roadmaps.

Connaissances

Quantitative risk management

Financial engineering

Product management

End-to-end product lifecycles

Stakeholder collaboration

Agile/Scrum

Data-driven decision making

Formation

Bachelor's degree in Quantitative Finance, Financial Engineering, Statistics, Economics, Computer Science

FRM

CFA

Outils

Python

R

SQL

Cloud computing

High-Performance Computing (HPC)

Description du poste

JPMorgan Chase & Co. is seeking an Area Product Owner for Quantitative Risk Analytics within the Investment Analytics Product Team.

You will drive the development of next generation risk models and own the vision for applications that support Wealth Management globally. The role requires a strong background in quantitative risk management, financial engineering, and product management for data platforms, with extensive experience in Agile/Scrum environments and collaboration across partners such