We are a specialist  in temporary assignments. Our clients are wellknown banks, government, energy, construction and other companies
For our a well known bank in Utrecht we are looking for a Credit Risk Data Analyst


Assignment:  Credit Risk Data Analyst
Location: Utrecht
Startdate asap
Enddate: 01-10-2024  with possible extension
Working hours a week : 36

Deadline to apply : 08-05-2024  at 14.00 PM

ONLY APPLY IF  YOU ARE LIVING IN THE NETHERLANDS (ONSITE), HAVE A VALID WORKING PERMIT FOR EU AND DO NOT NEED A SPONSORSHIP.

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Job description

Voertaal is Engels
Kennis van de Nederlandse taal is niet vereist.
Geen ZZP
Harde eisen voor deze aanvraag: Credit Risk kennis en/of ervaring, SQL en PySpark


Medior/Senior Credit Risk Data Analyst

Imagine that your data analysis truly drives the solutions that sustain our business and the products that serve our customers. Our Data Analysts have to stand out from the rest. Apart from superior code-writers (MS-SQL), we need Data Analysts who constantly question the status quo and continue to look for better solutions.

You and your job
The work you do will impact your team and your internal and external stakeholders, but also the client servicing process and therefore the bank’s core business. Our Credit Risk Data Analysts have been able to incorporate sophisticated data sources into the latest model development projects. This directly impacts the way Rabobank actively serves its clients.

Practical Examples
- You will be pro-actively aligning regulatory data requirements and gathering proper data such as Financials, behavioral risk drivers, etc, to enable the modelling of Probability of Default, Loss Given Default and Exposure at Default.
- You will support monitoring and back-testing, regulatory tasks in regards of legacy models in production with data and expertise
- You will flag DQ issues and help support the business in the remediation of the identified historical DQ issues

Topresponsibilities
- As a Data Analyst you’ll need to ensure that the data request from modelers are clearly understood , and assess from which sources the data can be derived. From there on you drive the ETL process
- You will translate requests for data into code, combining several sources, beating data into shape. You perform a series of standard and specific DQ checks, flag DQ issues and support the remediation of data where needed; ultimately, in close cooperation with the data scientists, you’ll check whether the data sets are fit for purpose
- You shall support in translating existing SQL code into business rules, and vice versa
- You perform impact analysis to assess business rules

Together we achieve more than alone
Around 120 professionals in Chapter Data, CRO Tribes are teaming up in several area’s and squads to support Credit modelling needs of the bank. Working together is the way we work; as one 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 Economics, Finance, IT or quantitative field
- You have at least 5 year relevant banking experience within the financial industries sector
- Banking and credit risk knowledge, and how this is translated into data requirements (familiar with financial and risk reporting)
- You have strong analytical and conceptual skills (MS SQL and PySpark are a must have, Python skills are helpful too)
- You have knowledge of data modelling methodologies and techniques for data warehouses and data marts.
- Strong communication skills in English, both spoken and written

 

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