JOB DESCRIPTION
The Finance Data & Insights Team is an agile product team responsible for the development, production, and transformation of financial data and reporting across Consumer & Community Banking. Our vision is to improve the lives of our people and increase value to the firm by leveraging the power of our data and the best tools to analyze data, generate insights, save time, improve processes and control, and lead the organization in developing skills of the future.
Our overall product objectives include:
1) Constructing a data environment that enables cross-business, product, customer-centric decision making and reporting needs across Consumer & Community Banking in a consistent framework.
2) Creating an ecosystem of dashboards, sourced from authoritative data sources, to replace all manual management reporting and to allow our employees to focus on generating actionable insights.
3) Eliminating user tools, saving time, and increasing the ability to generate insights through data, dashboards, and developing new capabilities.
As a Data Domain Architect within the Consumer & Community Banking Finance area, you will play a key role in transforming how Financial, Operational, and Behavioral data is reported and analyzed across Consumer Banking and Business Banking within Consumer & Community Banking. You will be responsible for discovering, sourcing, designing, and delivering data domains into a Databricks-powered data mart that consolidates critical data categories to support Finance's analytical and reporting needs. In this role, you will work closely with Finance stakeholders to understand their requirements and ensure data is well-structured, discoverable, and readily available for both analytical and reporting purposes.
Job Responsibilities :
- Conduct comprehensive data discoveries, sourcing, and maintenance of Financial and Operational data to support CCB Reporting and analytical needs.
- Develop detailed Data Requirement documentation that aligns with overall data strategies and models.
- Collaborate with the Technology team to develop and test data wrangling workflows, ensuring validation of business logic and outcomes.
- Perform thorough integration and regression testing of data components, providing evidence to ensure compliance and control measures are in place.
- Proactively identify and resolve issues/challenges, highlighting potential risks to leadership.
- Engage closely with end-users and IT during the UAT phase to validate that production results meet business requirements and expectations.
- Serve as a subject matter expert in these areas, providing support and guidance to other team members as needed.
Required qualifications, capabilities and skills:
- Bachelor's degree in MIS, Computer Science, Mathematics, Engineering, Statistics, or a related quantitative field.
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Over 10 years of experience in financial solutions (techno-functional), data engineering, data science, or business intelligence within the financial services domain.
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Proven experience in building data models ensuring data integrity, Strong understanding of data governance principles, policies, and practices to maintain data quality, security, and compliance.
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Solid understanding of data warehousing concepts and design principles, expertise in database queries (SQL/NoSQL), Proficient in ETL techniques.
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Experience in reporting development and testing, with the ability to interpret unstructured data and draw objective inferences.
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Proficiency in tools such as Databricks/Snowflake, Alteryx, Tableau/ThoughtSpot, handling large data volumes (e.g., Hadoop, Spark, R, Unix/Linux, SAS) and familiarity with analytical tools.
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Demonstrated ability to think beyond raw data, understand the business context, and identify business opportunities within data.
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Strong written and oral communication skills, with the ability to effectively engage stakeholders across technology, data, and business functions.
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Capacity to identify and solve data-related challenges, anticipate future needs, and recognize trends.
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Highly motivated and ability to work under pressure and meet tight deadlines.
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Must be able to work physically in our Bangalore office 4 days a week, with the option to work remotely from home 1 day per week, as determined by direct management.
ABOUT US
JPMorganChase, 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. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.
