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Wholesale Credit Data Management Vice President

TN United Kingdom

London

On-site

GBP 80,000 - 120,000

Full time

3 days ago
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Job summary

Join a dynamic team dedicated to revolutionizing credit risk management. As a Data Governance Lead, you will manage and govern data assets within the wholesale credit risk organization. This role offers a unique opportunity to partner with cross-functional teams, ensuring data compliance and driving foundational changes. If you are detail-oriented and have a strong background in data governance and project management, this is your chance to make a significant impact in a forward-thinking organization. Be part of a team leveraging data and machine learning to shape the future of wholesale credit.

Qualifications

  • Strong communication skills for conveying business and technical concepts.
  • Proven track record in managing complex projects in large organizations.

Responsibilities

  • Create and update credit data classification; ensure compliance with governance processes.
  • Monitor data quality metrics and drive resolution of data quality items.

Skills

Communication Skills
Project Management
SQL
Data Governance
Analytical Thinking

Tools

Business Intelligence Tools
Relational Databases

Job description

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Wholesale Credit Data Management Vice President, London

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Client:
Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

ac147e817718

Job Views:

3

Posted:

26.04.2025

Expiry Date:

10.06.2025

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Job Description:


Are you ready to shape the future of credit risk management? Join the Wholesale Credit Product organization, a dynamic team dedicated to revolutionizing the end-to-end credit risk process. We focus on consistency, speed, and efficiency to enhance client experiences and uphold JPMC's industry leadership. With high visibility driven by the Risk Operating Committee and firm-wide CROs, this role offers a unique opportunity to make a significant impact. Be part of a team that leverages data and machine learning to drive strategic change in wholesale credit.


As a Data Governance Lead in the Wholesale Credit Data Management and Governance team, you will play a pivotal role in managing and governing data assets within the wholesale credit risk organization. You will partner with cross-functional teams to implement and monitor data risks, ensuring data is fit for use and compliant with governance processes. Join us to drive foundational changes and strategic data solutions that shape the future of wholesale credit.

Job Responsibilities:

  • Create and update credit data classification; ensure compliance with firm-wide governance processes.
  • Define and implement entitlements models for data access across data products.
  • Act as the Information Owner (IO) for all Wholesale Credit Risk (WCR) applications.
  • Evaluate and approve data use, recommending appropriate consumption paths.
  • Monitor data quality (DQ) metrics and drive resolution of DQ items.
  • Determine and remediate data risk metrics in collaboration with Control Managers.
  • Ensure compliance with data localization, retention, and destruction requirements.
  • Collaborate with stakeholders to document and assess systems of record and authoritative sources.
  • Develop and mentor junior team members.

Required Qualifications, Capabilities, and Skills:

  • Strong communication skills, both written and verbal, to convey business and technical concepts.
  • Experience in defining and documenting new processes with appropriate controls frameworks.
  • Ability to interpret regulations, policies, and rules effectively.
  • Proven track record in managing and delivering complex projects in large organizations.
  • Detail-oriented, organized, and able to multitask under pressure.
  • Understanding of relational databases, SQL, and BI tools with hands-on experience.

Preferred Qualifications, Capabilities, and Skills:

  • Understanding of credit risk processes is a plus.
  • Dedicated project management experience.
  • Experience in strategic data initiatives and machine learning applications.
  • Ability to work collaboratively with cross-functional teams.
  • Strong problem-solving skills and analytical thinking.
  • Experience in financial services or a related industry.
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