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Senior Data Scientist

Analytics Finance Data Data Engineering

Application period has expired.

Do you want to be part of the data science journey in one of the largest financial institutions in Northern Europe? Are you committed and able to apply your extensive analytical skills? Can you create value for Danske Bank customers by detecting fraud through advanced machine learning?

Join Fraud Management, a team of experts within different areas of expertise, responsible for ensuring an agile high performing fraud detection setup across payment, card and mobile payments. We are responsible for executing the Danske Banks Fraud strategy. We are currently for an experienced data scientist to help expand our data science competencies to work on fraud detection models, and you have the possibility to contribute.

We are located in Copenhagen and Vilnius – You will be located in Vilnius and be part of a professional, Nordic environment with a strong focus on performance and emphasis on delivering results.

Depending on your experience and knowledge we may offer you a different seniority of the role.

 

You will:

You will be working with data analysis and development of supervised machine learning models for our fraud detection solutions, with the ultimate goal of creating an excellent customer experience and reduce the impact of fraud. Your approach is proactive and you believe in collaboration with colleagues as the key driver of success.

Focus area:

• You continuously improve and innovate new and existing models, through either frequentist or Bayesian predictive modelling techniques
• You are keen to apply your theoretical insights and practical experience to solve real problems. Concepts like eigenvalues, inner joins, posterior distributions and sigmoids should not be new to you
• You are hands-on and willing to take part in all aspects developing and maintaining supervised and unsupervised models for fraud detection
• In your daily work, you will have close collaboration with fraud experts and IT to bring the best solutions to life

About you:

• Clear vision on future developments in predictive modelling
• Ideally, you can combine solid business acumen and commercial awareness with experience within scripting languages and extraction of structured, semi-structured and unstructured data
• You have the ability to handle vast amounts of data, and, equally important, the skills to visualize insights from the analytics
• You hold a master’s or PhD degree within a quantitative field and have experience in data analysis, data cleaning, feature engineering and development of machine learning models
• Experience from financial services and/or cyber security is a plus, but not a requirement
• You have an analytical mindset and a fact-based approach and you understand the need for applying data as a competitive advantage in the banking environment
• You are result-oriented and with a positive mindset and proactive attitude
• You are curious by nature and eager to develop and learn
• As you will join an international environment, solid English skills are key

Join our team! We are looking for a new, pro-active colleague with a glass half-full attitude to join our fraud analytics and data science team.
We cover the quantitative setup for fraud prevention across the entire Danske Bank Group, using an evidence-based and quantitative approach to protect our customers against fraud. You will join a team of numerate and dedicated analysts and data scientists split across our offices in Vilnius and Copenhagen.

Nicholas Anders Clark,

Application period has expired.

If you are interested, please send your CV in English no later than 18.01.2021. Confidentiality guaranteed.

Your title in job contract will be Data Scientist, Senior.

Please contact if you have any questions: Head of Fraud Analytics & Data Science
Nicholas Anders Clark
Phone number +45 53 84 80 30

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