at J.P. Morgan

Bulge Bracket Investment Banks

Posted 10 days ago

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Compensation: Not specified USD
City: Jersey City
Country: United States

Full Job Description

Location: Jersey City, NJ, United States

Information Architecture within Corporate Financial Analysis (FA) is working to build scalable, end-to-end data products that enable centralized, self-service data sourcing through an array of consumption patterns optimized for Planning and Analysis (P&A) functions.

As a Data Domain Modeler, within the Transformation & Innovation team, you will play a key role in designing and implementation of end-to-end data models starting from raw data to the semantic layer that makes our data more accessible and understandable for different persona ranging from finance users, data analysts, automation, quantitative research and machine learning teams.

Job Responsibilities:

Design, develop, test, and refine data models and analytic prototypes and work with a variety of data sets and use cases to support different Planning & Analysis processes, collaborating with senior team members on solution design

Contribute to solve complex and high visibility data challenges in finance, working at the intersection of finance and technology

Support the design and development of new cloud base data lakehouse for the P&A community, leverage by Analyst through to the CFO for daily reporting

Guide and support data consumers about how to leverage the data products for analytics, planning and calculations

Leverage and review AI-assisted coding tools (e.g. Copilot, Claude) to accelerate data design development, SQL optimization, and prototype iteration

Identify opportunism to embed AI into recurring P&A workflows by defining data contracts and interfaces that is needed to work effectively

Collaborate with other high-performing teams within JPM to inspire innovation and champion change throughout the bank

Required qualifications, capabilities, and skills:

Bachelors degree in computer science, data science, information systems, business analytics, or related discipline; 3+ years of relevant experience in developing, testing, and refining data models and analytic prototypes using dimensional and relational data models
Strong analytical and problem solving skills with attention to details; hands on in building and prototyping data model to address user needs and support their delivery

Demonstrate experience using SQL and Python for data analysis, engineering, and transformation ; comfortable writing queries and scripts to build data pipelines, uncover business insights, and support model development

Curious and inquisitive mind to dig deep into the business and data to understand the context: open to challenge the status quo and striving for continuous improvement

Familiar with prompt engineering principles and the ability to effectively use LLM-based tools to accelerate development task such as writing SQL, generating documentation, or exploring data.

Hands on approach to creating solutions aligned to the tools and skills of the client user and experience with ETL / ELT process and architecture to move data across pipelines in a lake

Experience building models suited for interactive dashboard or cube consumption and familiarity with cloud-based data lake platforms such as AWS, Azure or Google Cloud

Preferred qualifications, capabilities, and skills:

Experience with Databricks , including notebook-based development

Experience working with headcount, workforce, or HR data domains

Design datasets and semantic layers for reliable data, document analytics and machine learning, and create transformation pipelines.

Full Job Description

Location: Jersey City, NJ, United States

Job Responsibilities:

Design, develop, test, and refine data models and analytic prototypes and work with a variety of data sets and use cases to support different Planning & Analysis processes, collaborating with senior team members on solution design

Contribute to solve complex and high visibility data challenges in finance, working at the intersection of finance and technology

Support the design and development of new cloud base data lakehouse for the P&A community, leverage by Analyst through to the CFO for daily reporting

Guide and support data consumers about how to leverage the data products for analytics, planning and calculations

Leverage and review AI-assisted coding tools (e.g. Copilot, Claude) to accelerate data design development, SQL optimization, and prototype iteration

Identify opportunism to embed AI into recurring P&A workflows by defining data contracts and interfaces that is needed to work effectively

Collaborate with other high-performing teams within JPM to inspire innovation and champion change throughout the bank

Required qualifications, capabilities, and skills:

Bachelors degree in computer science, data science, information systems, business analytics, or related discipline; 3+ years of relevant experience in developing, testing, and refining data models and analytic prototypes using dimensional and relational data models
Strong analytical and problem solving skills with attention to details; hands on in building and prototyping data model to address user needs and support their delivery

Demonstrate experience using SQL and Python for data analysis, engineering, and transformation ; comfortable writing queries and scripts to build data pipelines, uncover business insights, and support model development

Curious and inquisitive mind to dig deep into the business and data to understand the context: open to challenge the status quo and striving for continuous improvement

Familiar with prompt engineering principles and the ability to effectively use LLM-based tools to accelerate development task such as writing SQL, generating documentation, or exploring data.

Hands on approach to creating solutions aligned to the tools and skills of the client user and experience with ETL / ELT process and architecture to move data across pipelines in a lake

Experience building models suited for interactive dashboard or cube consumption and familiarity with cloud-based data lake platforms such as AWS, Azure or Google Cloud

Preferred qualifications, capabilities, and skills:

Experience with Databricks , including notebook-based development

Experience working with headcount, workforce, or HR data domains

Design datasets and semantic layers for reliable data, document analytics and machine learning, and create transformation pipelines.

Transformation and Innovation Team - Data Domain Modeling Associate

Full Job Description

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