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Investment Banking

Investment Banking Data Manager

At Vontobel, we are committed to actively shaping our future. We create and pursue investment opportunities that get our clients ahead. As a global financial service provider with Swiss roots, we specialize in wealth management, active asset management and investment solutions that fit.

Within our team Architecture & Digitalization in Zurich we are looking for an Investment Banking Data Manager (80-100%).

Your challenge:

  • Experience in Requirements Engineering, Solution Architecture, Design, Development and Deployment
  • Experience implementing or significant knowledge in following data warehouse concepts – Dimensional Data Modeling, Data Vault Modeling and Data Lake
  • Define common business and development processes, platform and tools usage for data acquisition, storage, transformation, and analysis
  • Define and develop network infrastructure solutions to enable partners and clients to scale NoSQL and relational database architecture for growing demands and traffic
  • Develops data delivery processes to data marts; building SQL code, stored procedures, and triggers; creating views
  • Ensure interconnection and alignment with all Investment Banking Data Units (FP Data Services, Master Data Management, Customer Data Management, Customer Relationship Management and others)
  • Establish Investment Banking wide Data Management processes and discipline in order to ensure highest possible Data Quality
  • Demonstrated experience in real world IT or other solutions environments including creating (on your own or with a team) a product or IT solution in the area of Big Data/Analytics
  • Represent Investment Banking in Vontobel Group data related Projects

Your qualification:

  • University Master degree in Computer Science, Information Technology or Data Science
  • Further Education in business administration or banking
  • Proven track record in data architecture
  • Experienced in project management and data engineering
  • Experience with major big data technologies and frameworks including but not limited to Hadoop, MapReduce, Pig, Hive, HBase, Oozie, Mahout, Flume, ZooKeeper, MongoDB, and Cassandra
  • Experience with big data solutions developed in large cloud computing infrastructures such as Amazon Web Services, Elastic MapReduce or Pivotal Cloud Foundry
  • Knowledge in Machine Learning would be an advantage
  • Loyal personality with clear mindset as a team player
  • Willingness to work in a dynamic and challenging field with clear commitment to flexibility
 Franca von Waldburg, Corporate Human Resources, +41 58 283 54 67

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