Treasury Resolution Wind Down Analysis - Associate

JPMorgan Chase & Co.

Greater London

On-site

GBP 70,000 - 95,000

Full time

14 days+
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Job summary

JPMorgan Chase & Co. in London seeks an Associate for the Wind Down team in CIB Treasury to help plan and automate regulatory submissions and wind down of trading and derivatives activities across regions.

You will collaborate with experts and technology partners to refine methodologies, automate analytics, and deliver high-quality outputs for recovery planning. You will develop materials for internal and external audiences, support local wind down planning for EMEA entities, and contribute to

Qualifications

  • Knowledge of regulatory frameworks and liquidity reporting.
  • Experience translating business requirements into data and system specs.
  • Proficiency in Excel and PowerPoint.
  • Knowledge of Python.
  • Strong analytical and problem-solving skills.
  • Clear written and verbal communication; stakeholder collaboration.
  • Attention to data accuracy and detail.

Responsibilities

  • Prepare analysis and contribute to wind down of trading and derivative activity (OWD).
  • Support the book of work on Resolution Financial Analytics (RFA), including regulatory submissions.
  • Contribute to local wind down planning for EMEA entities in Recovery planning submissions.
  • Assist in ensuring compliance with BoE Valuation Capabilities in Resolvability policy.
  • Develop materials to present results to senior stakeholders across the book of work.
  • Review and refine approaches and methodologies in areas of responsibility.
  • Support the Capabilities lead in the development of new functionality.

Skills

Regulatory reporting
Data requirements
Excel
PowerPoint
Python
Analytical thinking
Communication
Stakeholder collaboration
Attention to detail

Job description

Join a collaborative team where you will help drive innovation in regulatory planning and develop your expertise in capital and liquidity management. This role offers opportunities to work with colleagues across regions, enhance your technical skills, and contribute to projects that strengthen the firm’s resiliency.

As an Associate in the Wind Down team within Corporate & Investment Bank (CIB) Treasury, you will support the planning and automation of processes for the orderly wind down of trading and derivative activities, with a focus on both US and local recovery planning. You will work closely with subject matter experts and technology partners to refine methodologies, automate analytics, and deliver high-quality regulatory submissions. In this role, you will develop materials for internal and external audiences, collaborate with stakeholders across the firm, and contribute to initiatives that enhance the firm’s regulatory readiness.

Job Responsibilities
  • Prepare analysis and contribute to the delivery of the firmwide wind down of trading and derivative activity (Orderly Wind Down or OWD)
  • Support the CIB book of work on Resolution Financial Analytics (RFA), including preparation of regulatory submissions to US Agencies
  • Contribute to local wind down planning for EMEA entities included in Recovery planning submissions
  • Assist in ensuring compliance with capabilities set out in the Bank of England’s Valuation Capabilities in Support of Resolvability policy
  • Develop materials to present results to senior stakeholders across the book of work
  • Review and refine approaches and methodologies in areas of responsibility
  • Support the Capabilities lead in the development of new functionality
Required qualifications, capabilities, and skills
  • Knowledge of regulatory frameworks and liquidity reporting
  • Experience translating business requirements into data and system requirements
  • Proficiency in Excel and PowerPoint
  • Knowledge of Python
  • Strong analytical and problem-solving skills
  • Ability to communicate technical concepts clearly, both verbally and in writing
  • Ability to collaborate with stakeholders across functions and regions
  • Attention to detail and commitment to data accuracy
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