You will be joining the CB Global Finance and Business Management organization within JPMorgan Chase's Commercial Banking (CB) LOB in Bangalore. As a Data Engineering Analyst, your role will involve assisting the data analytics team agenda by learning core business processes, building new ML capabilities, developing and deploying ML Models for metrics/management reporting, and providing decision support. The CB Global Services team focuses on internal business & metrics reporting and analytics to support bankers, salespeople, and senior management agendas. You will have the opportunity to work on high-impact initiatives that drive profitability and efficiency across the Commercial Banking organization. **Primary Responsibilities:**
Work with team data scientists to document and deploy models, and collaborate with external Model Ops teams for model approval and deployment
Partner with senior leaders to advance the business analytics agenda, focusing on insights delivery in areas like operational efficiency, cost modeling, capacity planning, and quality enhancements
Define, design, and drive high-priority strategic initiatives with senior-level visibility, ranging from delivering business initiatives to engineering enabling capabilities
Develop a deep understanding of systems and processes to extract insights from existing data, recommend IT enhancements for improved data quality, and build strong partnerships with IT application owners and data management teams
Align with IT teams on a roadmap for continual improvement and provide support on in-flight projects
**Desired Candidate Profile:**
3 to 5 years of experience, preferably in financial services or commercial banking
Ability to understand business problems/processes and design solutions/methodologies rooted in data
Bachelors / masters in economics, Econometrics, Statistics, Engineering
Strong Python experience, exposure in Cloud computing platforms like AWS, AWS Sagemaker experience, and experience with Airflow and DAG development
Data querying techniques (SQL, Hadoop, HIVE, AWS), experience in Atlassian tools JIRA and Confluence
Proven record of learning new capabilities and technologies, setting up pipelines, deploying models, delivering data insights, and communicating effectively with senior stakeholders
Exposure and experience with designing and building machine learning algorithms, team player with strong work ethic
Good to have: Banking & Financial Services background, experience in CI/CD deployment environment, Cloud Practitioner, Dev Ops Engineer, Solutions Architect, understanding of JP Morgan model risk policies, experience with Modeling techniques, Tableau, ServiceNow & JIRA, and shift timing: EMEA (1pm to 10pm)
Note: The shift timing for this role is EMEA (1pm to 10pm) and the location is Bangalore. You will be joining the CB Global Finance and Business Management organization within JPMorgan Chase's Commercial Banking (CB) LOB in Bangalore. As a Data Engineering Analyst, your role will involve assisting the data analytics team agenda by learning core business processes, building new ML capabilities, developing and deploying ML Models for metrics/management reporting, and providing decision support. The CB Global Services team focuses on internal business & metrics reporting and analytics to support bankers, salespeople, and senior management agendas. You will have the opportunity to work on high-impact initiatives that drive profitability and efficiency across the Commercial Banking organization. **Primary Responsibilities:**
Work with team data scientists to document and deploy models, and collaborate with external Model Ops teams for model approval and deployment
Partner with senior leaders to advance the business analytics agenda, focusing on insights delivery in areas like operational efficiency, cost modeling, capacity planning, and quality enhancements
Define, design, and drive high-priority strategic initiatives with senior-level visibility, ranging from delivering business initiatives to engineering enabling capabilities
Develop a deep understanding of systems and processes to extract insights from existing data, recommend IT enhancements for improved data quality, and build strong partnerships with IT application owners and data management teams
Align with IT teams on a roadmap for continual improvement and provide support on in-flight projects
**Desired Candidate Profile:**
3 to 5 years of experience, preferably in financial services or commercial banking
Ability to understand business problems/processes and design solutions/methodologies rooted in data
Bachelors / masters in economics, Econometrics, Statistics, Engineering
Strong Python experience, exposure in Cloud computing platforms like AWS, AWS Sagemaker experience, and experience with Airflow and DAG development
Data querying techniques (SQL, Hadoop, HIVE, AWS), experience in Atlassian tools JIRA and Confluence
