Opdrachten

Rabobank Data Scientist Name Screening

Data Scientist Name Screening

Info

Functie

Data Scientist Name Screening

Locatie

Utrecht

Uren per week

36 uren per week

Looptijd

27.06.2023 - 27.07.2023

Opdrachtnummer

139760

Sluitingsdatum

date-icon03.07.2023 clock-icon15:00
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Rolomschrijving en taakafspraken

Beschrijving:

NO ZPP


Data Scientist Name Screening
Welcome to the world of Know Your Customer (KYC) and Fighting Economic Crime (FEC). Name Screening is used for the detection of individuals and organisations that could pose a sanction, terrorism financing or money laundering risk. Our teams are at the forefront of data driven signal detection and are dedicated to achieving excellence in providing a high quality reliable global service.

We value creativity, collaboration and attention to details! Our team is made up of diverse and talented individuals from all walks of life, wo bring unique perspectives and ideas to the table. We believe that every member of our team plays a crucial role in our success and we encourage everyone to contribute. We have open discussions and constructive feedback sessions on what good should look like.

You and your job
As Data Scientist Name Screening, you will document the current Name Screening model into a Model Development Document (MDD). The MDD should explain the model’s purpose and intended use and make a connection to the underlying business need and appliable regulation. The MDD should address the scope and restrictions of the developed model and specify how each of the requirements are met. You will bring together different documents, analysing the algorithm and align with different stakeholders.

Skills
• Excellent functional writing & documentation skills.
• Demonstrated experience with reading coding
• Results driven and good team player
• Self-starter and take ownership
• Fluent in English

Together we achieve more than alone
We believe in the power of difference. 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 squad at tribe FEC Tech, Area Sanction Detection.

The 70+ people in Global Sanction Detection Area facilitate complex Global FEC Services by providing applications and processes to fulfil Sanction regulations. Working together is the way we work; as 1 technical area 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.

Bedrijfsgegevens

Bedrijfs gegevens

Rabobank

Rolomschrijving en taakafspraken

Beschrijving:

NO ZPP


Data Scientist Name Screening
Welcome to the world of Know Your Customer (KYC) and Fighting Economic Crime (FEC). Name Screening is used for the detection of individuals and organisations that could pose a sanction, terrorism financing or money laundering risk. Our teams are at the forefront of data driven signal detection and are dedicated to achieving excellence in providing a high quality reliable global service.

We value creativity, collaboration and attention to details! Our team is made up of diverse and talented individuals from all walks of life, wo bring unique perspectives and ideas to the table. We believe that every member of our team plays a crucial role in our success and we encourage everyone to contribute. We have open discussions and constructive feedback sessions on what good should look like.

You and your job
As Data Scientist Name Screening, you will document the current Name Screening model into a Model Development Document (MDD). The MDD should explain the model’s purpose and intended use and make a connection to the underlying business need and appliable regulation. The MDD should address the scope and restrictions of the developed model and specify how each of the requirements are met. You will bring together different documents, analysing the algorithm and align with different stakeholders.

Skills
• Excellent functional writing & documentation skills.
• Demonstrated experience with reading coding
• Results driven and good team player
• Self-starter and take ownership
• Fluent in English

Together we achieve more than alone
We believe in the power of difference. 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 squad at tribe FEC Tech, Area Sanction Detection.

The 70+ people in Global Sanction Detection Area facilitate complex Global FEC Services by providing applications and processes to fulfil Sanction regulations. Working together is the way we work; as 1 technical area 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.

De recruiter

Mandy Hoogland

HeadFirst

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