Data Engineer
5d ago
source : GrabJobs

Job Description :

  • Contribute to IT projects in the banking industry for Antaes clients, in the Regulatory IT space, for Corporate Banking.
  • Partner with senior business sponsors, platform supervision, compliance, and business management to enhance and augment the holistic supervisory and surveillance platform.
  • Investigate and analyse data on the surveillance platform as key input to enhance existing data strategy on multi-vector analysis using various natural language processing and machine learning techniques.
  • Primary focus is to investigate and analyse available structured and un-structured information, apply data mining techniques, perform statistical analysis, and provide methods (algorithmic and technical) to create actionable alerts and reduce false-positives.
  • Develop and enhance software solutions to meet business requirements such as ingestion scripts and data management processes.
  • Gather and document technical requirements and specifications.
  • Attend regular meetings and interface with internal and external teams related to the project.
  • Work with the project PM and delivery manager to provide input on schedules and implementation best practices.
  • Work on multiple tasks and respect aggressive schedule.
  • Contribute to the promotion of Antaes services on top of assistance provided to clients
  • Job Requirements :

  • Possess a Master’s degree in engineering, math, statistics, physics or another technical field.
  • Advance knowledge and experience on Python language with a minimum of 5 years relevant working experience.
  • Advance knowledge and experience of Big Data technologies including large data stores like Hadoop, Elastic, Apache Solr, Lucene and comparable stacks.
  • Advanced expertise of SQL systems , with at least 5 years expertise developing in Oracle, Microsoft SQL Server, PostgreSQL, MySQL .
  • Knowledge of JAVA, J2EE , JavaScript, JSON, Perl, SQL, and PL / SQL would be a plus.
  • Knowledge of NoSQL systems such as Cassandra, CouchDB, MongoDB, Elastic search is a plus. Knowledge of Cloud Computing (AWS, Azure, Google), data visualization and analytics tools.
  • Basic understanding of project lifecycle stages Requirements Gathering to Post Implementation.
  • Ability to manage conflicting requests on time in a continually fast-moving environment and operate as a key team member of a global team.
  • Strong analytical skills required with attention to details
  • Excellent verbal and written communication skills
  • Experience with Front Office, Compliance, Operations, and IT support teams in a Capital Markets domain by developing client centric solution and working with vendor product implementations.
  • Experience with machine learning, natural language processing, AI, or robotics is a plus.
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