Danske Bank

Data Analyst / Scientist (Student)

Job description

Are you analytical, insightful and enjoy trying to understand the reason for why a particular pattern in data is occurring? Do you enjoy breaking down complex issues into easy to understand stories that are engaging and highly visual to audiences to help them understand data? Do you want to be involved in supporting Danske Bank’s financial crime investigation and analysis teams be the best, and have a role where you are able to make genuine change? Then we have a fantastic opportunity for you!

We are looking for a Student Data Analyst / Scientist to work in our Suspicious Activity Reporting Analytics & Oversight team. You will perform analysis on data related to financial crime in order to identify thematic patterns and trends that might represent risk, in order to support Danske Bank proactively stop criminals from using the bank to launder money or fund terrorism.

In this role, you will work closely with stakeholders and colleagues across a range of teams involved in the detection, investigation, and prevention of financial crime and will be at the forefront of running analysis projects on very large volumes of data to find risk. You will present your findings to senior stakeholders in highly visual and engaging ways – assisting others understand the key issues and evidence behind those issues.

This position is based in Høje Taastrup, close to public transportation. You can expect to work with us 15-20 hours per week. Working days and hours will generally be agreed upon in advance, but of course, we are flexible in terms of your studies and exam periods.

Solid analytical skills and good statistical understanding
It is important that you have good data analysis skills and the ability to communicate complex topics easily to non-technical stakeholders. We imagine that you are currently studying for a degree or post graduate in Data Science, Mathematics or Physics or similar, and can demonstrate you have knowledge of background statistical / pattern detection models. You should also be able to demonstrate that you also can present information to a wide range of audiences in engaging ways such as the use of visualisations / presentations.

Your key technical skills should include a good knowledge of SQL and/or Python / R, and you have knowledge at an academic level of statistics or data analysis. Knowledge of other coding languages/packages for analytical use would be beneficial. You should also be able to show experience in being able to present information using visualisations and interactive tools / notebooks (such as Tableau / Qlikview, R, Jupyter Notebook, etc). You are expected to be able to use the MS Office suite, in particular Excel, PowerPoint and Teams, to a high standard.

A high level of written and spoken English is required. We welcome applications from candidates who come from a variety of backgrounds.

Make a genuine difference for society
To succeed in the job you take a structured approach to your work, are creative, curious and able to operate in a fast moving environment and take pride in delivering high quality work. Due to our work, we expect a high degree of integrity and ability to comply with our duty of confidentiality.

The job gives you a great chance to make a societal impact in contributing to prevent financial crime. On top of that, you will get the opportunity to build up a lot of experience and use your theoretical and academic background in an organization, where your work will have a big impact.

If you have any questions for the job, you are welcome to contact the Head of SAR Analytics and Oversight, Ross Pudney by email pud@danskebank.se

Send your CV and application no later than the 10th December 2021 . We will be reviewing candidates as we receive applications.

We look forward to receiving your application.

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