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Risk Data Lineage Advisor - ABN AMRO

Location: Amsterdam
Salary: € 4077 - € 5656 a month
Employment: Full-time

We vragen

  • 5 - 10 jaar
  • Een inventieve instelling
  • Een ondernemende houding

We bieden

  • € 4.077 - € 5.656
  • Een uitgebreid arbeidsvoorwaardenpakket
  • Regie op eigen ontwikkeling

Waarom ABN AMRO?

  • Bouwen aan de bank van de toekomst
  • Een diverse en inclusieve cultuur
  • Veel interne doorgroeimogelijkheden

Je werk

As a Risk Data Lineage Advisor you’ll ensure that all the stakeholders of Risk Management are in control of their entire data life cycle, understand and can trust data aggregation processes, and you’ll help accelerating BCBS239 compliancy which is key to maintain our license to operate.
The key activities you’ll be performing:
•    Define requirements and standards that will be implemented as the bank-wide methodologies for Data Lineage
•    Create a vision and define milestones in alignment with business stakeholder expectations; set and monitor these milestones
•    Act as a central contact point and intermediate layer between Risk Management and IT, Finance and Chief Architecture Data Management teams for all Data Lineage related topics
•    Support and guidance to transition from current Data Lineage practices to the defined standard methodologies
•    Raise awareness of Risk data users on Data Lineage importance and best practices
•    Provide trainings on the use of tools to compliment and support the documentation of Data Lineage
•    Oversee and support the different stakeholders in the performance of the end-to-end Data Lineage exercise; Perform quality assurance on the documented Data Lineage 
We are searching for someone who can effectively tackle the challenge of managing Risk Data Lineage in a sustainable way that aligns with the bank future proof strategy!

Je werkomgeving

The Risk Data & Modelling grid is part of Risk Data & Analytics (RD&A), and plays an active role for all the Risk departments. We employ 150+ staff, all of whom share a passion for getting the most out of risk data. Our aim is to generate reliable risk data on time. We do this by improving the risk data itself, data systems and data processes.

You will work in the Risk Data & Modelling grid as part of the Data Compliance Implementation Support (DCIS) team. Like the other teams, yours will largely consist of young, driven professionals. Because the department is still under development, you will be expected to actively contribute to the strategy for improving the working method. The atmosphere is open and informal. We work hard, but there’s plenty of room for enjoyment!
The DCIS team’s main functions are defining, coordinating and supporting the implementation of centralized procedures for data management practices within the domains of Data Modelling, Data Sourcing, Data Lineage, Data Gaps and Data Quality.

Je profiel

Our ideal candidate is a passionate person who enjoys creating structure to a continuously changing environment, has a proven track record in driving change in organizations with complex structures and recognizes the importance of Data Lineage as a key Data Management capability.
Given the complexity of the landscape it is important that the candidate is able to make things simple in their communication approach and has a fair amount of flexibility to listen to the needs of all the stakeholders, challenge where needed and come up with solutions that best fit their needs, whilst taking into account the ‘big picture’. 
If you think this sounds like you, check to see if your profile matches the following:
•    You’ve successfully completed a higher professional education (Bsc.) or degree (Msc.) and have at least 5 years of relevant work experience (preferably in consultancy)
•    You have knowledge on data management best practices (e.g.DAMA) and experience with one or more data domains
•    You have affinity with Risk Management and IT
•    Excellent oral and written communication skills in English (Dutch is an advantage)

We bieden

You get the space to contribute to the value creation from our risk data. You will have the opportunity to deepen your expertise and/or develop yourself in the breadth of the function. There are plenty of career opportunities. This mainly depends on your ambitions and interests. 

In addition, we offer:
•    The ability to work flexible hours
•    A supplementary benefit budget of 11% with which you can buy flexible fringe benefits such as extra days off, a subsidy to cover the costs of a phone or an (electric) bicycle, and salary top-ups
•    a personal development budget of € 1,000 per year with an option to save up to € 3,000
•    an annual public transport season ticket
•    a good salary and pension scheme 

At ABN AMRO, we put our knowledge, expertise and network at the disposal of our customers to help them reach their goals through responsible decisions, both in the Netherlands and beyond. Our number one priority is always to put customers’ interests first. We want our customers to understand our products and sometimes won’t offer them if we think a particular product may be too risky for a customer. Putting the customer first also means communicating clearly and coming up with smart solutions that really make the difference. That is our aim.

Interesse?

Are you interested? Then respond to this vacancy now. For more information contact Renske Couwenberg, cluster lead Data Compliance & Strategy, via email: renske.couwenberg@nl.abnamro.com.

We look forward to meeting you!

No approaches by recruitment or selection agencies please

Location:

Amsterdam

Information and application:

Apply:

Please send your application for Risk Data Lineage Advisor at ABN AMRO Bank in Amsterdam including your CV via our website.

Job posted

24 december 2021
Apply Now

More information:

For more information contact Renske Couwenberg, cluster lead Data Compliance & Strategy, via email: renske.couwenberg@nl.abnamro.com.

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Carrière als Big Data specialist

Onze (digitale) wereld is steeds meer data gedreven. Door verschillende databronnen te combineren en gebruik te maken van slimme algoritmen, kunnen voorheen onzichtbare verbanden worden blootgelegd, waarbij het niet alleen draait om data volume, maar ook om een specifieke manier van denken. De vraag naar Big data specialisten is groot en zal verder toenemen.

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