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채용JPMorgan Chase

Asset Management - Investment Platform - AI Product Owner - Associate

JPMorgan Chase

Asset Management - Investment Platform - AI Product Owner - Associate

JPMorgan Chase

LONDON, LONDON, United Kingdom, GB

·

On-site

·

Full-time

·

3mo ago

At a time of rapid change in the AI landscape, this is an exciting opportunity to help build and scale core AI platform capabilities used across J.P. Morgan Asset Management. As an Associate AI Product Manager on the SpectrumIQ / Investment Platform team, you will support the delivery of reusable AI capabilities including: Agent Frameworks, Orchestration, Call Summarization that enable AI use cases across the spectrum of AM.

This role is ideal for a product manager with strong technical curiosity who enjoys working closely with engineers and product owners to translate platform strategy into shippable capabilities.

Job Responsibilities:

  • Support the development and roll out of core AM AI platform capabilities, including:Agent framework and orchestration patterns
  • Natural language processing capabilities
  • Call / meeting summarization functionality
  • Work closely with engineers, data scientists and product managers to: Translate platform requirements into well-defined user stories
  • Maintain and prioritize a delivery backlog aligned to SpectrumIQ and cross-AM needs
  • Partner with senior product leads to:Gather requirements from Asset Management stakeholders
  • Ensure platform capabilities are reusable, scalable and aligned with broader AI strategy
  • Assist in maintaining roadmaps and delivery plans, providing visibility into progress, dependencies and timelines
  • Engage with engineering teams to understand integration requirements and how platform services will be consumed by downstream AI products and use cases
  • Support governance and intake processes to ensure platform work aligns with business priorities and risk, controls, and data governance standards
  • Communicate clearly and consistently with stakeholders on progress and dependencies, ensuring they are kept informed of status and issues or challenges
  • Contribute to the continuous improvement of product development processes and documentation

Required qualifications, capabilities and skills:

  • Experience supporting the delivery of products within a larger platform or ecosystem
  • Strong collaboration and stakeholder management skills, with the ability to work across product, engineering and governance teams
  • Comfort discussing technical concepts and a practical level
  • Familiarity with agile product development practices, including writing user stories and acceptance criteria

Preferred qualifications, capabilities and skills:

  • Understanding of the modern AI landscape
  • Problem-solving skills and ability to break problems into executable work
  • Willingness to take ownership of deliverables within a defined scope
  • Prior experience in financial services, asset management
  • Excellent written and verbal communication skills

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총 지원 클릭 수

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모의 지원자 수

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스크랩

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JPMorgan Chase 소개

JPMorgan Chase

JPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.

300,000+

직원 수

New York City

본사 위치

$500B

기업 가치

리뷰

3.8

10개 리뷰

워라밸

3.2

보상

4.1

문화

3.8

커리어

3.0

경영진

2.5

65%

친구에게 추천

장점

Good benefits and compensation

Supportive and collaborative environment

Flexible work arrangements

단점

Long hours and heavy workload

Management issues and lack of direction

High stress during peak times

연봉 정보

41개 데이터

Junior/L3

Mid/L4

Senior/L5

Junior/L3 · Analytics Solutions Associate

1개 리포트

$139,000

총 연봉

기본급

$107,000

주식

-

보너스

-

$139,000

$139,000

면접 경험

5개 면접

난이도

3.0

/ 5

소요 기간

14-28주

합격률

40%

경험

긍정 20%

보통 80%

부정 0%

면접 과정

1

Application Review

2

HireVue Video Interview

3

Recruiter Screen

4

Superday/Panel Interview

5

Final Interview

6

Offer

자주 나오는 질문

Behavioral/STAR

Technical Knowledge

Culture Fit

Past Experience

Case Study