About JPMorgan Chase & Co.
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.3 trillion and operations in more than 60 countries. The firm is a leader in investment banking, financial services for consumers, small business and commercial banking, financial transaction processing, asset management, and private equity. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world's most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Information about JPMorgan Chase & Co. is available at http://www.jpmorganchase.com/ .
The Reference Data Technology Client team (part of the RFT) provides reference data delivery solutions delivering Client, Account, Document, Instrument and Core Reference across all LOB's.
We are looking for an individual who will be responsible for the technical delivery of the strategic client reference data platform.
The candidate will drive the development, management and maintenance of the reporting supporting CIB and CB line of business. It will also play a pivotal role in leading the data initiatives by partnering with business to optimize the data environment for quality, efficiency and performance. Candidate is expected to understand & design complex SQL queries to frame up the data warehouse for financial reporting & analytics. The role requires a strong reporting background with a focus on reconciliation, analytics, and working across functional areas. Interaction between business and other groups are required to ensure modifications to existing systems and new applications fully meet business requirements.
Build a target state data model
Build effective controls within data & reporting process
Convert complex business logic into effective SQL query
Identify opportunities to automate manual reporting process
Partner with Data IT teams to drive data development & enhancement through an agile process
Understand complex data environment and be able to propose solutions to simplify/ optimize
Drive migration of reporting/ data environment to next gen platform leveraging Big data tools
Partner with Stateside team and India lead, to prioritize requirements and develop a schedule to meet the deadline
Assist in defining and documenting new processes and training/ mentoring new hires on new processes.
Understands the SDLC, quality assurance/quality control concepts, metrics, methodologies and documentation standards.
The candidate must be a highly-motivated individual and must be able to handle a high volume of work, be able to deal with and work through ambiguity, be flexible enough to shift workload in accordance with changing priorities, and be comfortable dealing with a sometimes stressful and fast-paced, priority-driven environment.
Requires minimum 10-14 years of Data Management, Data Integration and Analytics experience
At least 2-4 years experience leading teams
Working exposure on data integration and handling projects that involves processing huge volume of data
Hands-on experience in preparing/integrating the datasets to match to the reporting requirements
Working knowledge on Data Management/Data Quality Rules development will be a plus
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
High level of expertise in SQL, Data Warehousing & Business Intelligence concepts
Good working knowledge using Oracle and experience in creating/maintaining scalable database load process with hands-on experience in framing up Complex SQL Queries involving Data Analytical functions
Experience working with unstructured data like complex JSON structures
Strong Experience with ETL tools like Informatica
Exposure/Experience in a range of big data architectures and frameworks including Hadoop ecosystem, Java MapReduce, Pig, Hive, Spark, Impala will also be an added advantage
Exposure BI tools especially Qlik View, Tableau, BO is added advantage
Exposure to Python and Unix shell scripting is added advantage
Expertise in working with agile projects and exposure to automated testing / dev ops kind of environments.
Bachelor s degree required; Master s degree preferred
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