Job Description
Full Job Description
Asset and Wealth Management Chief Data Office handles the Line-of-Business data strategy and vision to have a scalable, agile, well-engineered data platform that powers near-real-time insights, to deliver differentiated experiences for our broad and diversified client base. The Data Product Metadata Management team members work closely with Senior Management to help execute the firmwide data product-based approach to accelerate data value realization with descriptive and predictive analytics in Asset and Wealth Management. The centralized team has members in New York City, Columbus, London, Mumbai, and Bangalore.
Job responsibilities
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
Data model review and adoption. 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
Documentation. 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 l oading 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 a ssist development teams to map their data implementations to the logical data model for documentation, 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.
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, ****** 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.
Asset and Wealth Management Chief Data Office handles the Line-of-Business data strategy and vision to have a scalable, agile, well-engineered data platform that powers near-real-time insights, to deliver differentiated experiences for our broad and diversified client base. The Data Product Metadata Management team members work closely with Senior Management to help execute the firmwide data product-based approach to accelerate data value realization with descriptive and predictive analytics in Asset and Wealth Management. The centralized team has members in New York City, Columbus, London, Mumbai, and Bangalore.
Job responsibilities
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
Data model review and adoption. 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
Documentation. 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 l oading 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 a ssist development teams to map their data implementations to the logical data model for documentation, 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.
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, ****** 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.
💡 Quick Summary
Seeking a career-building opportunity? The Data Product Metadata Governance | Business Data Modelling | Associate position is now open for candidates interested in the Bank Jobs sector. This role in Bengaluru offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Bank Jobs is a plus.
