Requirement Specification:
The DQM architecture consists of a data and reporting part. The reporting part has already been taken up in the first half of 2016 by executing an RFP to select the best fitting regulator engine. In the coming half we will continue the study to focus on the data architecture part to select the best fitting data management platform for our Group data. For the study we have set up a core team of business and IT architects with participation of the group and local subsidiaries architects of central Europe.
We are looking for a Business Analyst to participate onsite in our team.
The Profile we are looking for should support us in:
Determining the scope of the primary data layer: Business functions & domains ( Like risk, finance & treasury reporting, forecasting, performance management,…) Applications ( Like GL/Subledger, consolidation,…) and interface with regulatory reporting.
Draw out the business architecture for our company management as well on local as on group level.
Defined required data management processes like enrichments, validations, reconciliations, data ingesting,…
Defining a roadmap, transition path and business case as a deliverable for the study.
Further elaborating the data governance on this primary data layer with impact on organization, data model and moddeling, data definitions, data management.
Defining the drivers and objectives of this data study
How our data architecture should be drawn for BCBS239 compliancy
Technology challenges on deploying the data architecture at group and at our local Central European subsidiaries level
Expected knowledge:
- Expert knowledge of the company management domains in general ( Risk, Finance, Treasury, Compliance, Tax )
- Knowledge of the regulatory challenges ahead AnaCredit, SRB, BCBS239,…
- Expert knowledge of the market of data management platforms, logical data warehouse, enterprise data models,…
- Expert knowledge of ETL tools to obtain data lineage
- Expert knowledge of big data technologies to can add value on the company management data architecture
- Best practice on data architecture and data moddelling