Business Analyst/Reference Data Associate Availability of high-quality data to support our businesses meet clients' needs is critical and strategic priority for Asset & Wealth. The Chief Data Office (CDO) was established in 2014 to define AWM's data strategy and support for the core data used across AWM and needed to run our business, such as client data, reference data, product data, securities and pricing data, transactions and holdings, and index & benchmark data. The AWM CDO is key function within the Asset & Wealth Management Strategy Group. We work with the AWM businesses, Operations, and technology partners to design and deliver data products and solutions required to support business initiatives, revenue growth, regulatory mandates under an optimized risk and control environment. The analysis work will focus on business requirement documentation and implementation in relevant systems including Manta, EDPI/Radix and adoption by downstream applications. A solid background in financial securities (vanilla + derivatives), sound working knowledge of vendor sources and technical skill set to write SQL queries or Alteryx (good to have) are key to success in this role. The assignment requires a significant experience and domain knowledge of securities reference data especially market sector and industry classifications covering all asset classes, mastering concepts and data usage in downstream consuming systems. The analysis work will be performed under an ecosystem of systems that includes GIM, Manta, EDPI/RADIX, OMNI, Olympic & Midori and constant liaison with adopting application hubs including Galaxy, Newton, Sparta, Open Invest etc. Roles and Responsibilities: - Co-coordinating with tech and business to obtain requirement for build - Provide clear requirement for data model, with apt attribute name and definitions as per the standard. - Initiate and lead working group with technology and business to develop success criteria for the product delivery and maintain cadence of meeting to track progress. - Perform in-depth analysis and build data transformation documents to ease adoption of data from legacy to strategic. - Develop operating models to support required level of controls in the end-to-end data flow - Ability to recommend and implement required tools to maintain high level of transparency through reporting - Define and manage requirements to support adoption of instrument data via EDPI/RADIX - Document and track project reporting metrics and scorecards Key Relationships: - Chief Data Officer - Data Governance Lead - Chief Information Architect - Technology Leads and teams - Operations partners AWM and FW - Business Management - Portfolio Managers/Investor Specialists and Research Analysts - Data Domain Leads - Data Domain Stewards - Extended Technology partners and teams - Finance, Risk & Compliance partners and teams Qualifications: - Minimum of 7 years of experience in a major financial services organization, with data project management experience e.g. Business and Data analysis and migration projects - Deep knowledge of Reference data domains (Including Securities, Party & Product data needed by an asset & wealth management organization. - Proven ability to translate requirements into data modelling, adhering to firm-wide architectural standards, such as logical to physical data modelling - Thorough understanding of the financial services industry and businesses e.g., buy side/Sell side as well as related operations and technology functions - Awareness of data related industry regulatory requirements - Background in data management and governance practices, business and technology issues related to management of enterprise information assets and data quality framework - Bachelor in Business Administration, Finance, Computer Science, MIS, or Information Management or equivalent Desired Skills: - Agile best practices, requirement elicitation, finalization and prioritization. - Hands-on with JIRA, writing user-stories, well defined Acceptance criteria, Definition of Ready and Definition of Done. - Strong Business and Data Analysis skills - Strong Financial securities data/Reference data domain knowledge - Ability to manage relationships across lines of business functions (front office, Middle office operations, technology, risk, compliance, finance) - Strong analytical skills and hands on with basic SQL . Good to have No-SQL. - Highly skilled in productivity tools e.g. PowerPoint, Excel, Visio and project - Experienced in creating presentations for senior management JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management. 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. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. Note : For your candidature to be considered on this job, you need to apply necessarily on the company's redirected page of this job. Please make sure you apply on the redirected page as well.

Bangalore

JP Morgan Chase - Business Analyst/Reference Data Associate 

Job Description for JP Morgan Chase - Business Analyst/Reference Data Associate  in JP Morgan Chase in  Bangalore for (7-10) years of experience. Apply Now!