Custody Operations - Data Automation Analyst

at  JPMorgan Chase Co

JOB DESCRIPTION

Join the Custody business that is supporting a fast-paced agenda to enhance client experience!
As a Custody Operations - Data Automation Analyst in Operations you will join the Change, Execution and Transformation (CET) Team within Custody Operations. You will contribute to high-impact initiatives ranging from People, Process and Technology with senior leadership visibility. You will identify opportunities for large impact transformation using a data driven approach, leverage intelligent tools like Alteryx, Owl DQ, Tableau, UiPath, etc. and contribute to programs that will deliver on a target state vision to increase operational automation and efficiency. You will be asked to lead work streams/projects from assessment through articulation of recommendations and execution.

REQUIRED QUALIFICATIONS, CAPABILITIES, AND SKILLS

• Custody product & process knowledge/experience with understanding of the trade transaction lifecycle, cash management, FX and asset servicing
• Knowledge of Alteryx, Tableau, UiPath and other AI/ML tools is essential
• Ability to analyze data, processes to identify issues, use cases where Intelligent Automation tools can be leveraged to solve problems
• Ability to troubleshoot problems and independently find solutions
• Strong verbal and written communication and ability to face off demanding stakeholders, managing their expectations
• Strong oral and written communication, presentation skills and stakeholder management
• Continuously displays strong analytical and decision-making skills
• Independently motivated and able to deliver with minimal supervision, while working effectively in a team setting

PREFERRED QUALIFICATIONS, CAPABILITIES, AND SKILLS

• Custody Operations, Client Service or Middle Office experience
• Experience participating in strategic change initiatives
• Candidates with prior experience for implementing projects leveraging AI/ML and blockchain technology
• Relevant knowledge and experience will be considered in conjunction with related business degree, or industry recognized training
• Excellent problem solving and analytical skills, specifically around data analysis and management
• Knowledge and exposure to tools such as Owl DQ (Collibra DQ) is beneficial
• Knowledge of Python and SQL is preferred, and other coding languages is beneficial

ABOUT US

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

• Conducts analysis and investigation of operational data issues through trend analysis, root cause analysis and deep dives
• Captures and documents ideas, use cases, issues related to data quality and management
• Liaises with various stakeholders to ensure successful implementation of uses cases to streamline data quality
• Communicates to senior stakeholders on projects and key MIS indicators
• Focuses on metrics that can be produced on an ongoing basis to validate the value being added and to drive continuous improvement
• Supports intake of Machine Learning (ML) projects; helps facilitate the process to engage with internal and external solution providers
• Expands the adoption of Artificial Intelligence (AI) and Machine learning (ML) across the department by enhancing and promoting the support infrastructure (e.g., use-case repository, component library, etc.)
• Assists in maintaining the department wide Artificial Intelligence (AI) and Machine learning (ML) Book of Work and develop and expand on associated reporting and key success metrics
• Supports the development and coordination of the Artificial Intelligence (AI) and Machine learning (ML) acceleration strategy
• Works with stakeholders across multiple groups including Product Development, Middle Office, Core Operations, Technology, and Finance
• Supports other workstreams like New Business, Cost-To-Serve (CTS) computations, Run-The-Bank (RTB) projects, process reengineering, location strategy, IAS charter activities and managing production issues