Product Owner ALM Model Implementation (Freelance/ZZP)

Posted May 10, 2022
Project ID: ITJP00069764
Start date: May 16, 2022
36 hrs/week
Payrate range
73 - 88 €/hr

Startdate:  ASAP

Max hourly rate: 88€

Hours per week: 36



As a Product Owner ALM Model Implementation you are setting priorities for the feature team ALM Models. You are in constant dialogue and agreement with the relevant stakeholders in the chain to implement new models and improvements.
In this position youll be the linking pin between developers of ALM & Treasury risk models and the various IT teams.


As a Product Owner ALM model implementation, you can make a difference by:

  • Establishing and maintaining road maps for ALM model implementations and Stress Testing. Translate ALM model and stress test requirements into user stories (epics and features) for the team.
  • Manage and coordinate changes in the chain of ALM related systems.
  • Coach the team on ALM model content.


Collaboration is at the heart of everything we do. Our Risk Model Engineering team brings talented people together to implement Rabobank s Credit Risk, ALM, and IFRS9 models at Group level. We work closely together with colleagues from different professional backgrounds (modelling, validation, data, software, test, and operations engineers) in multi-disciplinary Agile teams.

With you

Storytelling, negotiation, judgement & decision making, and complex problem solving are clearly essential skills for the Product Owner ALM Model Implementation.
In addition, it's important that you recognise everything in the checklist below:

  • You have a finished master degree or PhD in Econometrics, Applied Science or a related field;
  • You have 7-10 years of working experience in financial or related area.
  • You have substantial experience in Agile working with professional IT teams as lead business analyst or as product owner;
  • You have managed stakeholders in a complex organisational setting;
  • You have (past) experience in developing or validating risk models;
  • You have (past) experience in programming of calculation functionality;
  • You have (past) experience in data processing, data modelling and/or data engineering;
  • You master English both in speaking and writing.

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