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Data Scientist - Fraud Intelligence & Investigation

Nets A/S



Data Scientist for the Fraud Intelligence & Investigation department at Nets
Do you see the power in data and have you had plenty of hands-on experience organizing, blending, analysing and presenting data? Have you worked with data technologies, are you curious, innovative and take pleasure in picking up new data tools and methods?

We are looking for a Data Scientist to an exciting position in the Fraud Intelligence & Investigation department at Nets working out of Ballerup.
As a Data Scientist at Nets Fraud Intelligence & Investigation you will analyse payment card fraud and data. You will utilize your flair and passion for data mining, your analytical mindset, your ability to do explorative analytics etc. to find and visualise correlations and developments which are relevant to make data driven decisions as well as do proper story-telling about the development in the KPIs related to card fraud.

Further, your innovative mindset will suggest new relevant KPIs as well as provide input for product development to further reduce fraud on our customers’ payment cards.
Based on a self-developed XG Boost Model and continuously updated rules we detect and prevent payment card fraud for our customers. Payment fraud is a constant threat to consumers, merchants and banks and therefore an area we continuously need to improve mitigating actions against. Beyond our existing fraud prevention systems, we have also developed a Big Data environment around Hadoop, which further strengthens our position in the market. Based on our systems and understanding of data patterns we deliver fraud-mitigating services and produce internal and external reports on a frequent basis.

Areas of responsibility:
• Utilize Extract Transform Load (ETL) tools and methods as well as a highly analytical mindset to visualise relevant data patterns concerning payment card fraud
• Deliver analyses and reports internally and externally – this includes development of dashboard overviews (currently in PowerBI)
• Advocate, evangelize and build data-fuelled processes around fraud prevention and fraud monitoring
• Have a constant eye for automation possibilities e.g. time scheduled data- extracts and transformations
• Contribute to and develop new ‘Fraud services’ in close co-operation with business- and sales units, IT as well as our customers

Preferred Profile:
• Minimum a Master’s degree in a data-intensive field like Statistics, Computer Science, Economics, Physics, Math, Engineering, Social Sciences or similar
• Experience with ETL tools and methods, data blending, data cleaning, data transformation, data analysis and presentation of data
• Familiar with data science methods and tools (e.g., clustering, classification, optimization, data mining, predictive modelling, and machine learning)
• Experience and proficiency within SQL and Python and/or similar coding languages as well as PowerBI is a strong advantage
• Knowledge about and/or experience with Hadoop is an advantage
• Proficient skills in English both orally and in writing

We emphasise that you have solid business acumen, good interpersonal skills and the ability to effectively communicate and interact with colleagues and internal and external stakeholders. You are not afraid of challenging the existing and you can reach independent conclusions as well as taking the need of an integrated team into consideration and being able to guide, negotiate, influence and decide in complex, ambiguous and contradictory situations.

Apply now to power your career
Apply with your CV, and if you want, you can attach a short video clip. Please send your application as soon as possible, as we will be conducting interviews on an ongoing basis. If you’re curious to learn more about the job, you’re welcome to contact Louis E.B. Andersen +45 29 48 77 06

Read more about Nets, our workplace and colleagues on our career page https://www.nets.eu/careers .

We conduct background checks on relevant candidates through our partner Semac, http://www.semac.no.

Country
Denmark

Department
452200 - Fraud Intelligence

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Nets A/S
Nets A/S
Hos Nets forbinder vi banker, virksomheder og forbrugere gennem innovative digitale betalingsløsninger. Vi står bag Dankort, Betalingsservice og NemID.

Placering
Energivej 1
2750 Ballerup
Logo: Nets A/S
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