Senior Data Analyst / Data Analyst for Anti-Money Laundry Solutions in Danske Bank

Danske Bank

Udlandet (øvrige)

Would you like to create an impact, while evolving in a dynamic and inclusive culture built on cooperation, curiosity and high ambitions? Are you passionate about business intelligence and advanced analytics? Do you want to contribute to better Anti-Money Laundering (AML) solutions in the top Danish financial institutions? Do you want to be part of the highest prioritized and fastest growing area?

Please join us as Senior Data Analyst or Data Analyst in the Welcoming & Review Journey in Danske Bank.

Be part of a team with focus on development and collaboration
The Welcoming and Review Journey is responsible for developing the future Welcoming and Review solutions for the business and personal segments. Within the organisation, we belong to the Anti-Money Laundering programme, reporting directly to our CEO. We are a large group of engaged colleagues working with customer experience, development of case handling systems, automation, digitalisation and change management. We work agile in cross-functional squads, with colleagues co-located from the business, Risk and IT. Our team members are based in Denmark, Poland, Lithuania and India.

You will join the Welcoming Personal segment and will work from our Copenhagen office, with approximately 50 colleagues with different nationalities. Our team is recognized by an informal tone and a high degree of collaboration. It is important you thrive in an experimental environment where learning by doing is key.

We strive to create an inspiring and motivating workplace where we deliver results, develop personal skills and have fun with a healthy work-life balance.

Your overall responsibility
In your new role, you will be a part of the Data & Analytics team. Working in close collaboration with dedicated and skilled analysts, data engineers, data scientists and business partners, you will contribute to a broad range of projects.

As a part of the Welcoming team, you will get the opportunity to participate and contribute on some of the most urgent tasks and learn from your more experienced colleagues. You will be analysing large data sets to create analysis that will provide insights to our future anti-money laundering setup and compliance systems.

  • You will support different agile squads with data-specific knowledge and competencies, including business intelligence work.
  • You need to translate between various business requirements and data expertise.
  • You will help to build data structure under the sustainable data governance framework.
  • You need to understand the complexity of customer data in the Bank, locate the sources, examine the data quality, and participate in clean-up projects.
  • You will have chances to participate in different advanced modelling and leverage data for more efficient AML solution.
  • You will perform ad-hoc data analysis based on different business requirements.

Required skills and competencies:

  • Bachelor’s/Master’s/Post-graduate degree in Economics/Mathematics/Statistics/Physics/Econometrics/Computer Science/Business or related degree programs
  • Data-driven mind-set with expertise in statistical methods, data sourcing and collection, quantitative research design and analytics tools
  • Experience with SQL
  • Extensive experience and in-depth knowledge of MS Excel
  • Experience with Alteryx or other ETL/data modelling tool is a plus
  • Experience with BI and visualization tools (e.g. Tableau/Qlik/MS PowerBI) is a plus, with big data tools (e.g. Hadoop/Hive/Spark) nice to have
  • Knowledge of R and/or Python data analysis (e.g. pandas, numpy, matplotlib, nltk) or any other programming experience is a plus
  • Efficient, flexible and agile in approach, taking ownership and responsibility for work and proactively identifying and tackling opportunities or potential problems
  • Strong team orientation and collaborative by nature
  • Able to communicate in a clear and consistent manner
  • Since we are an international team, it is a prerequisite to speak and write English fluently

The following is required for a senior role:

  • 3-4 years of similar experience
  • Understanding of data quality, data governance and data management

Sounds interesting?
If you need additional information, please contact Data & Analytics Lead Manager Huijue Ye on
We are reviewing applications on a continuous basis, so please upload application, CV and exam certificates through our online system at your earliest convenience.

Send application and CV no later than 05-31-2019.

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Ansøgningsfrist d. 31.05.2019

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