Treasury – Senior Associate – Collateral Data Analytics
Company | JP Morgan Chase |
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Location | Brooklyn, NY, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Senior |
Requirements
- Bachelor’s degree or equivalent in Accounting, Finance, Data Analytics or related field
- 5+ years of relevant experience
- Strong leadership and communication skills
- Ability to gather, document, and communicate effective business requirements, distinguishing between business needs and wants
- Proficiency in data analysis for reading, understanding, and organizing large data sets
- Expertise in transforming and integrating supporting processes and operating models for successful solutions
- Strong governance skills are critical, given the involvement of various LOBs and supporting functions
- Ability to effectively communicate and influence internal (cross-LOB leadership and supporting functions) and external (vendors and clients) stakeholders
- Understanding of how to navigate various LOBs and comprehend the operations of our clients (sell-side and buy-side firms)
Responsibilities
- Lead firm-wide collateral eligibility data governance, including data modeling, capture, and translation across all Lines of Business (LOBs) and eligibility sources
- Support the evolution, product roadmap, and business integration of the Collateral Eligibility Services (CES) across all principal LOBs and Collateral Services (Tri-party and Agency Collateral Management)
- Partner with LOBs to align collateral eligibility capabilities, processes, and information to deliver value within and across LOBs
- Lead the collateral innovation agenda to enhance eligibility setup and inquiry experiences through UI improvements, AI, and third-party solutions, exploring synergies across Collateral Services and Principal businesses
- Provide insights into firm-wide collateral management business architecture for liquidity management, resolution planning, and LOB collateral and client/industry innovation
Preferred Qualifications
- Experience with low-code tools such as Alteryx and Python
- Understanding of asset classes and knowledge of products