Professional Data Management (Big Data) (m / w / d)

  • UniCredit Bank
  • Munich, Germany
  • 02/11/2019
Full time Data Science Data Analytics Big Data Data Management Statistics

Job Description

HypoVereinsbank is part of UniCredit, a simple, successful Pan European Commercial Bank, with a fully plugged into Corporate & Investment Banking, delivering a unique Western, Central and Eastern European network to its Extensive Client franchise. We offer our employees professional development all over Europe. UniCredit has been certified as a European Top Employer returning year-for-yearconsistently high employee engagement.
The requirements of both are and are to be understood. In response, the function of Chief Data Officer (CDO) was introduced to UCB AG as well as UniCredit Group. This position is intended to be used as an approach to data management.
That's what you can expect from us. What you can do with us as you work as a key role in the team responsible for building out the advanced analytics lab within the bank Management of the solutions implemented in the Advanced Analytics Lab.

You are assisting in the implementation of the Big Data-based solutions using the Palantir data management platform. You want to be responsible for executing the governance framework for big data-based solutions, in order to make more efficient opportunities for data analysis and data lifecycle management within the platform.

The CDO responsibilities within the Advanced Analytics Lab solutions and could be required to present and present the results to your internal stakeholders.

Your task will include the maintenance of the Advanced Analytics Lab • data quality controls in the Advanced Analytics Lab
This is what you bring with you • University degree in computer science or finance with a very good and good academic performance. • Experience and knowledge of either data management or database management (especially on big data infrastructure) business or data analysis. • Good interpersonal skills and the ability to develop your internal network • Knowledge of relevant programming languages ​​(SQL, PL / SQL, Python) • Interest in big data based solutions, digitization and development in the field of advanced analytics and machine learning • A good technical understanding of data management • Good knowledge of banking and financial markets • Goal-oriented, structured and self-reliant way of working • Good operational readiness and resilience • Fluent in spoken and written English,