Inviting For experience candidates CIB Business Analysis

Job Description

Data Analyst Associate, Cross Product Change ServicesJ.P. Morgan s Corporate & Investment Bank (CIB) is a global leader across banking, markets and investor services. The world s most important corporations, governments and institutions entrust us with their business in more than 100 countries. With $23.5 trillion of assets under custody and ranked #1 for Global Investment Banking fees, the Corporate & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.Department DescriptionCross Product Change Services (CPCS) is a change delivery organization within the CIB s Digital & Platform Services (D&PS) that provides integrated change, testing and implementation support to CIB stakeholders. CPCS capabilities include end-to-end test management and automation, business analysis, data analytics and program management, which are tailored to enable strategic initiatives in the Wholesale Payments, Markets and Securities Services businesses, as well as cross-business functions such as Network Management and Client Onboarding (Client Tax & WKO).LOB DescriptionRole DescriptionJPM is seeking an Data Analytics Associate to contribute to the data modeling, analysis and validation for CIB strategic change projects. This successful candidate will be involved in the following aspects of change management and have key responsibilities as outlined below.Responsibilities:
• Understand data structures; Understand data structures; fundamentals of golden source, data interdependencies and data tables.
• Analyse Data testing and validation across 5 LOBs, 10 LE s, and over 100 critical applications.
• Analyse, consume, map, model, visualize, store, maintain, report and leverage data using technology (and smart tools).
• Involved in the production of metrics, KPI and analysis to assist the team in making data-based conclusions.
Functional and Technical Expertise
• Strong knowledge in Python, SQL, Tableau
• Good knowledge in Alteryx
• Familiar with other visualization tools like Qliksense/ Qlikview, BI Tools etc.
• Familiar with Data Science and Machine Learning concepts
• Define and map data relating to organizational roles.
• Design and implement an effective and top in class solution to capture, collate, store and maintain real time data for purpose of analyzing risk, measuring progress and performance (though a common database solution as an example) in change delivery.
• Identify ways to resolve data pain points and maintain data integrity and consistency across functions consuming the same data in pre-production and test environments; Support data problems in test environments.
• Define and implement data validation approach to ensure data solutions comply with internal and external regulations / standards and monitor data integrity, standard and consistency through iterative testing, especially where new features are being integrated.
• Define data validation for various internal and external (client) platforms.
• Own datasets for testing and those provided / used by vendors to test.
• Define runbooks for data migration from legacy sources to new solutions as required.
• Knowledge of the Securities, Markets and Wholesale Payments businesses, client base, operations and systems.
• Ability to self-manage issues/programs of varying complexity and drive business goals forward.
• Proficient problem solving skills and ability to rapidly learn unfamiliar processes.
• Capacity to think laterally and convey an understanding of the big picture.
• Ability to work on multiple business demands, prioritize and deliver in a timely manner with high standards.
Problem Solving and Analysis
• Skilled at problem solving, ability to scope and provide structure to complex issues, rapidly learn unfamiliar processes and provide insightful and timely remediation.
• Excellent attention to detail so errors can be prevented and redundancies / opportunities highlighted.
• Ability to keep sight of the overall context and remain centred on the strategic picture, identify areas of opportunity for process improvement and build out recommendation to proceed.
• Ability to use effective systemic data driven reporting to support program reporting.
• Advanced numeracy and Microsoft skills.
Communication
• Engage and collaborate with peers and operational and technology partners from each sector and sub organization to analyze, design, model and validate data architecture across change projects providing change acceleration, consistency and quality of delivery as relates to data.
• Engage data architects and data scientists across the organisation in meaningful dialogue.
• Liaise with function heads, users, and technology and key consumers to document optimal data targets, framework and roadmap.
• The role will require working with stakeholders across the CIB, looking to leverage best practice across the industry and other J.P. Morgan business units. Lateral contacts in business, technology, middle offices, product and client facing organizations firm wide should be developed and mined for best practices.
• Excellent verbal and written communication skills and presentation skills.
• Excellent interpersonal skills to influence at senior and junior levels.
• Ability to work with cross-functional global teams and interact with all staff levels.
• Experience in interfacing with external clients, regulators, depositary and agents.
Working Style and Influence
• Collaborate with Operational, Risk and Technology partners to define security and backup procedures for data.
• Prepare documents explaining the data architecture, train team members on data architecture, methods and practices to reduce Key Person Dependencies.
• Ensure maintenance of data standards per Chief Data Office guidelines; Collaborate regularly with the Data Scientists and Chief Data Office to leverage best practices and industry trends to solve CPCS problems.
• Ability to understand own role and those of other team members and recognise at times the need for flexibility within roles to achieve the project and organisational targets.
• Able to work comfortably and assuredly under pressure to achieve target deadlines.
• Confident to raise concerns with leadership team and support resolution.
• Effective change management skills. Ability to support & adapt within a changing environment.
• Self-starter, able to work autonomously, with strong time management skills.
Qualifications:
• 7+ years of work experience, preferably in financial services in operational, program or client experience disciplines.
• Bachelor s degree (with relevant experience) preferred.
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Keyskills :
data scienceglobal teamsdata modelinggolden sourcedata analyticsdata migrationdata integritydata solutionsdata standardstest managementdata structures