Description
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2.6 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small business, commercial banking, financial transaction processing, and asset management. 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/.
Risk & Finance Technology (RFT) builds and supports the firm's financial
infrastructure to ensure Finance professionals have access to the tools and information necessary to drive success. In partnership with Global Finance Operations (GFO), Global Technology Infrastructure (GTI) and others, we deliver solutions that meet the requirements of our key clients - the JPMorgan Chase CFO and Corporate Finance Organizations, as well as all line of business CFO teams.
Data Acquisition and Hosting organization within Risk and Finance technology is chartered with the mandate to streamline and single source all Transaction and Position as well as reference data strategically with the aim of removing redundancy, driving efficiencies and estanlishing a single version of reconciled data for consumption across firmwide Risk and Finance Organization.
Big Data Applications Developer with a deep knowledge of Map Reduce and the Hadoop Ecosystem.
We are looking for someone experienced in the Risk & Finance Technology space for a Global Investment Bank with knowledge of Trades, Positions, Sensitivities, Cash flows, P&L and MTM. Experienced Java Developer that can develop applications ingesting data in to Hadoop (HDFS, HBase, Hive/Impala) from various applications, transforming data (YARN, Spark, Hive), converting data to different formats(Avro, Parquet) and streaming data (Kafka) out to consumers. Individual must be familiar with Application Security models, PII data, Data masking, Data encryption.Familiarity with Messaging frameworks, Rules based engines and Scheduling Software a big plus.Qualifications
Must Have:
Additional requirements:
Education Requirement:
College degree with a major in a technical field or specialized training / equivalent work experience
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