JPMorgan Data Management- Business Modelling - Associate 

India, Karnataka, Bengaluru 

667529032

As a Data Management- Business Data Modelling - Associate within the Asset and Wealth Management Chief Data Office, you will be responsible for understanding, analyzing, capturing, and maintaining business data requirements using data models. You will work closely with Senior Management and other team members to execute the firmwide data product-based approach to accelerate data value realization with descriptive and predictive analytics in Asset and Wealth Management. Your role will be crucial in ensuring the consistency of these models and maintaining the Business Glossary in a manner that allows impact assessment and lineage of metadata.

Job responsibilities

• Perform Logical data modelling. Understanding, analyzing, capturing and maintaining business data requirements using data models. Ensuring these models are consistent and that the Business Glossary is linked and maintained in a manner that allows impact assessment and lineage of metadata
• Maintaining business data requirements in specific, normalized and extensible logical data models
• Review, adopt and integrate data models from Firmwide, other Lines of business and development teams into Asset and Wealth Management business models. Provide review feedback to Firmwide and application teams
• Maintain a central data portal that details all the AWM data modelling standards. Keeping this information up to date and relevant is key
• Managing the linkage between the logical data model, business glossary and any physical artifacts to ensure traceability and consistency of terms and definition and loading and versioning of the models into a central Metadata repository
• Assist Data Product owners and development teams to adopt and reuse Asset and Wealth Management Core Logical Data Model in producing application logical models and data offering models and assist development teams to map their data implementations to the logical data model for documenting, lineage to business glossary and application model creation
• Maintain data integrity rules. Assisting data analysts with capturing business rules and translating into clear requirement specifications and then into the data model expressed in a structured language is a task the data modeler is responsible for

Required Qualifications, capabilities and skills

• Bachelor’s degree or equivalent preferably with a major in one of the following subjects: Finance, Commerce, Computer Science, Information Technology
• Minimum of 5 years of modelling experience having had exposure to conceptual, logical, canonical or semantic modelling, knowledge of data model design patterns and experience of logical data modelling within Financial Services industry
• Proficient with a data modelling tool such as Erwin, PowerDesigner or MagicDraw; ER (Entity Relationship) modelling to a competent level to be able to coach others in business requirements capture
• A good understanding of financial and business data such as: instrument data, instrument pricing data, party & account data, positions & transactions, fund data, investment performance data, index & benchmark data, market vendor data for buy-side researchers and portfolio managers
• Effective with minimal supervision, works under own initiative and executes with end-to-end focus; Influences and manages key aspects of the business / function
• Excellent communication skills with the ability to be comfortable in a confrontational situation; team player with relationship building skills

Preferred qualifications, capabilities and skills

• A good understanding of different modelling notations (UML, ORM, etc.) and data schemas (JSON, XSD, XML) and a working knowledge of SQL and Python
• Metadata management, Metadata Repository, Data dictionary usage and associated tools
• An understanding of what constitutes best practice data governance and data quality controls including data mining, data transfer and data profiling technologies
• Business Analysis experience within banking and financial services industry, preferably in the Asset and Wealth Management space
• Working knowledge of business intelligence and analytics tools such as Alteryx, Tableau, Qlik, etc.