refresh

트렌딩 기업

트렌딩 기업

채용

채용JPMorgan Chase

Client Reference Data - Product Associate

JPMorgan Chase

Client Reference Data - Product Associate

JPMorgan Chase

Mumbai, Maharashtra, India, IN

·

On-site

·

Full-time

·

1w ago

You are a strategic thinker passionate about driving solutions in Client Data Product Management. You have found the right team.

As a Data Product Manager within our dynamic team , you will be responsible for scaling the CDM(client data management) data product, strengthening operating models, and driving operational excellence through data-driven execution.

Job Responsibilities

  • Drive product development for the CDM data product with cross-functional, cross-domain partners.
  • Collaborate with stakeholders to deliver impactful, scalable data product solutions.
  • Design cross-product operating models to strengthen execution, governance, and scalability.
  • Implement operating model changes in partnership with operational teams to improve delivery rigor.
  • Optimize processes and controls to enable consistent product execution and operational excellence.
  • Analyze large datasets to extract actionable insights and surface business opportunities.
  • Communicate insights clearly to align teams, accelerate decisions, and drive outcomes.
  • Engage diverse user groups to understand needs and deliver measurable user value.
  • Manage professional relationships with a client-service mindset and product excellence focus.
  • Support the full SDLC using agile/scrum practices while adapting to shifting priorities.
  • Shape product strategy through structured problem-solving, clarity of execution, and strong organization.

Required qualifications, capabilities and skills

  • Demonstrate strong ownership, initiative, attention to detail, and structured execution.
  • Bring at least 5+ years of financial services experience, including 2+ years in asset & wealth management.
  • Prove product development experience and success delivering outcomes across functions/domains.
  • Apply experience partnering with operational teams to build and implement operating models.
  • Operate effectively within SDLC environments, with hands-on agile/scrum delivery experience.
  • Exhibit high data literacy with the ability to process and analyze large datasets.
  • Leverage data analysis/visualization tools (e.g., Alteryx, Python, Tableau) as applicable.
  • Uphold strong data governance orientation (e.g., MDM) when working with critical client data.
  • Communicate clearly in writing and verbally across varied stakeholder groups.
  • Build trusted relationships and manage professional touchpoints across diverse users.

Preferred qualifications, capabilities and skills

  • Hold an advanced degree in Business, Finance, or a related field.
  • Bring experience with cloud-based data platforms and modern data architectures.
  • Demonstrate experience scaling data products within large organizations.
  • Apply UI/UX research or design exposure to shape intuitive, high-impact product experiences.
  • Show familiarity with workflow/digital ecosystem concepts and/or distribution/CRM platforms.

Generated with LLM Suite General:

총 조회수

0

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

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