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Applications Developer Lead, Big Data Environment - Intelligent Solutions

Job Description

JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $2 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.

JP Morgan Intelligent Solutions (JPMIS) is a new group considering ways to transform and leverage JPM proprietary data assets into opportunities for JPM.  Protecting and managing intellectual property effectively as well as utilizing it to develop solutions that are both customized and scalable will enable JPM to create additional shareholder value.
 
JPMIS is looking for passionate technologists with experience in CIB application development and are comfortable performing under pressure to deliver production quality systems in short time-frames.   The team works with the wholesale (CIB) business lines to produce data analytics and big data solutions.  Initially we are looking for strong java developers, but this group poses exciting opportunities in the future for individuals who are interested in green field projects using the latest technologies for data analytics and big data, with the ability to architect and build systems by selecting the right technology’s.
 
Key Responsibilities
  • Design and architect production ready systems using server side java technology stack and UI
  • Experience in relational databases, advanced SQL and data modelling
  • Experience in implementing distributed and scalable algorithms (Hadoop, Spark)
  • Analyze, design and code business-related solutions, as well as core architectural changes, using an Agile programming approach resulting in software delivered on time and in budget;
  • Understand and implement quantitative models in production ready systems
  • Solid understanding in at least one of the following business areas: securities & derivatives pricing, market making, real time pricing, risk and PnL, life cycle of a trade, regulatory reforms and risk. 
  • Experience of working in a development teams, using agile techniques and Object Oriented development and scripting languages, is preferred.
  • Comfortable learning cutting edge technologies and applications to greenfield projects
The candidate will ideally have 5+ years experience with hands-on experience in:
  • Strong domain expertise for institutional securities business
  • Development in Windows and Linux environment,
  • Data-modeling and implementation
  • Experience in working with market / streaming data and time-series analytics
  • Experience on working with different caching strategies 
  • Experience on working with multiple solutions for data movements such as – file copy, pub-sub, ftp, etc
  • Development of web-based and digital framework for content delivery
 
  • Expertise with Hadoop and the HDFS and Ecosystem
  • Experience with distributed infrastructures
  • Strong Experience with Core Java, Scala, Python, and R
  • Strong Experience with data management and partitioning
  • Strong development skills on Map Reduce and Spark applications
  • Experience in troubleshooting, debugging and optimizing Map Reduce
  • Experience in configuring Spark jobs
  • Experience working with Hortonworks or Cloudera (preferred)
  • Experience with batch processing
  • Strong expertise on Relational Data Base Systems(SQL) and Hierarchical data management
  • Exposure integrating a relational database and a NoSQL store and SQL application development experience
  • Experience to ETL tools such as sqoop, pig, data torrent/Apex and Pentaho is a plus
  • Experience with Navigator is a plus
  • Experience with REST API is a plus
  • Exposure to encryption tools (HP Voltage) is a plus
  • Experience with streaming processing using Spark Streaming / Storm is a plus
  • Experience with oozie is a plus

 

 

 

 

 

 

 

 

 

 

 

Req #: 160040368
Location: New York, NY US
Job Category: Technology
Employment Type: Full Time
Potential Referral Amount: 0 US Dollar (USD)

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