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Analyst/Data Scientist for Lending Fraud

Application period has expired.

Do you want to play a vital part in our data driven Fraud Analytical Strategy? Do you have an analytical mind-set and interest in building the foundation for advanced analytics, machine learning and preventing fraudulent loan applications? Then we have your next opportunity waiting for you!

You will be joining Danske Banks Global Fraud Management. Our purpose is to detect and prevent fraudulent loan applications by utilizing data, having intelligent systems, in-depth analysis and ambitious people. Together we enable stakeholders around the bank to take the right decisions, so the bank can effectively fight and prevent fraud, to ensure a great customer experience and become thought leaders. Fraud has very high strategic priority in Danske Bank.

You will:

You will work together with experienced colleagues, building the data foundation for detecting and preventing fraudulent loan applications and ensuring that Danske Bank take a lead in fighting financial crime.

Your main tasks will be:

  • Develop the solutions for simulating fraud rules, advanced analytics and predictive models
  • Develop and implement effective fraud detection and prevention strategies to mitigate identity theft and application fraud losses while ensuring an appropriate balance between risk, operational costs and customer experience
  • Ensure product approval rates, operational review volumes, and application fraud losses are managed within planned guardrails
  • Partner in decision quality/defect reviews to identify strategy opportunities on incurred application fraud losses
  • Develop reporting on fraud application losses, trends and other controls

About you:

You have an analytical mind-set, flair for working with large amount of data and keen on developing your skills within advanced analytics. It will be an advantage for this role that you are curious by nature and eager to develop and learn. You are either newly graduated with majoring in IT, statistics or economy, or have some years’ experience from the financial sector as an analyst or as a consultant.

The entry point to the position can vary, but we expect you to have:

  • Experience in the banking/financial industry is preferred but not required
  • Experience in the fraud risk discipline in Credit Cards or other Consumer Banking products is desired
  • Strong analytical and problem solving skills
  • Programming skills in R or Python or SAS
  • SQL programming skills and advanced Excel spreadsheet skills. Knowledge and experience of segmentation, statistical procedures and financial analytic tools are required
  • Experience with Decision Trees, and building strategies using desired
  • Experience with Machine Learning desired
  • Strong interpersonal skills – collaborate with people across functions
  • Ability to work in fast-paced environment and meet deadlines without sacrificing quality
  • Self-motivated, with ability to actively lead and implement ideas
  • Proficient English language required, any Scandinavian language is a plus

Application period has expired.

If you are interested, please send your CV in English no later than 04.12.2020. Confidentiality guaranteed.

Your title in job contract will be Analyst - Statistical.

You will join my team, please contact if you have any questions.
Janus Niclasen
Phone number +45 29 29 22 34

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