AdresWat wij vragen
- Je beheerst Engels
Wat wij bieden
Vacaturebeschrijving
- Hybride
- Utrecht
- Nederland
- 36 uur
- Fulltime
You are impacting the quality and quantity of data availability to build Credit Risk Models.
You and your job
The work you do will impact your team and your internal and external stakeholders, and ultimately also the client servicing process and therefore the bank's core business. Our Data Chapter colleagues have been able to incorporate sophisticated data sources into the latest projects. The projects vary from the credit risk to the reporting domain. This directly impacts the way Rabobank actively serves its clients. Also it directly contributes to the bank's financial stability and allows the regulators to see we're in control.
Practical Examples
- Source Data for Credit Risk Models
- Historical Datasets of 20 years.
- Analysing Databases.
Facts & Figures
- 36 or 40 hours per week
- 43,000 Rabobank colleagues around the world
Top 4 responsibilities
- Analysis and determination of the scope of data to be archived to Modeldata-HiSDA (Highly Secured Data Archive) of a decomissioned system.
- Analysis and determination of the scope of sources from GDP to Modeldata- HiSDA. Due to GDPR retention.
- Reasoning from the mandate for HiSDA and data products in these analyses.
- Guiding the team on how to store data so it can be used for Credit Modelling.
As a Data Analyst you will be working in the Chapter Data Modelling & Insights. You will be working on projects mainly focused on Credit Modelling and will collaborate a lot with different colleagues in the Tribe Data Factory and Tribe Credit Analytics.
Together we achieve more than alone
We believe in the power of diversity. Bringing together people's differences is what makes us an even better bank. So we are very curious about what you can bring to our Chapter Data Modelling & Insights.
"As member in the Area Model Data you are working together in a very motivated hybride team of 14 people who are focused on data archiving and sourcing for Credit Risk Modelling"
Arjan Schoutens, Product Manager Modeldata
Around 240 professionals in Chapter Data, are teaming up in several area's and squads to support the tribes within our finance and risk domain of the bank. Working together is the way we work; as one creative problem solving team of experts at Rabobank. Talking of Rabobank: We are a Dutch bank that operates in 38 countries for over 9,500,000 customers. Together with these customers, our members and partners we stand side by side to create a world in which everyone has access to enough healthy food. In the Netherlands we work to create a country in which people are happy with how they live, work and do business.
You and your talent
- You have a Master degree in a quantitative field or IT, or Finance/Economics.
- You have at least 5 year relevant banking experience within the financial industries sector.
- You have strong analytical and conceptual skills and you have gained experience in working with large volumes of data in complex data structures (un-transparent, low quality). MS SQL code is a must have, some Python is helpful too.
- Banking knowledge is preferred, especially of credit risk, financial markets and corporate banking products and processes, and how this is translated into data flows.
- Strong communication skills in English, both spoken and written
This is what we offer you
- A gross annual salary between € 5.115,- and € 7.307,- per month based on 36 hours per week. Scale 10 (depending on your experience and seniority).
- thirteenth month's salary and 8% holiday allowance.
- an extra budget of 11% (depending on scale) of your gross salary to be used at your discretion. Buy extra holiday hours, add more to your pension savings or ask for part of the extra budget to be paid out.
- a pension scheme to which you contribute 3.5% or 5.5%.
This is a selection of the terms of employment for a Analyst based on a 36-hour working week (40 hour contract is possible too). You can find all terms of employment on rabobank.jobs/en/conditions-of-employment.
This is a selection of the terms of employment for a Data Analyst based on a 36 hour working week. You can find all terms of employment on rabobank.jobs/en/conditions-of-employment.
You and the job application process
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- We will hold the interviews through a video call.
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- A security check is part of the process.
- We respect your privacy.
#LI-LV5 #dataanalyst #rabobank #creditrisk
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In 5 stappen
We leren je graag beter kennen.
Stap 1
Sollicitatie
Leuk dat je solliciteert! Wij nemen alle cv's en brieven door. Na sluitingsdatum krijg je zo snel mogelijk een reactie.
Stap 2
Eerste gesprek
Je maakt online kennis met meestal je leidinggevende en een directe collega. We willen weten of je bij de functie en het team past. En jij hebt vast ook veel vragen aan ons.
Stap 3
Tweede gesprek
We willen je graag een tweede keer spreken. Bij dit online gesprek gaan we dieper in op de inhoud van de functie en spreek je vaak nog met een andere collega.
Stap 4
Aanbod
Ben jij de nieuwe collega die we zoeken en word jij ook blij van ons? Dan krijg je een goed aanbod per e-mail. Bij sommige functies moet je eerst nog een assessment doen.
Stap 5
Screening
Tijdens de screening onderzoeken we of je betrouwbaar genoeg bent om voor Rabobank te werken.
Data Analyst Credit Modelling
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