Matthías Karl Karlsson

Matthías Karl Karlsson

Chief Data Scientist · Danske Bank · Group Risk Management · Risk Modeling & Analytics

LinkedIn

Chief data scientist with 7+ years of experience in risk management, risk analytics and modelling, and macroeconomic analysis at one of the largest financial institutions in Northern Europe. I have applied data engineering and machine learning initiatives to strengthen anti-money laundering frameworks and optimise debt collection, and led high-priority analytical projects from concept to production.

My work has been covered by Danish national media, featured in the Chief Risk Officer's monthly newsletter to Risk Management, and presented directly to the Danish Financial Supervisory Authority (DFSA). I specialise in building scalable data pipelines and models used to bridge the gap between business needs and data science solutions, translating complex analytical findings into actionable insights for stakeholders.

  • Data Science
  • Risk Management
  • Artificial Intelligence
  • Machine Learning
  • Software Engineering
  1. Podcast2024

    Evolution Exchange: Data-Driven Decision Making

    I was a guest on Evo DK, where we explored the impact of data-driven decision making on modern organizations, from finance to tech to agriculture.

    Spotify

    "Host Tom Catherwood is joined by Matthias Karlsson, Chief Data Scientist at Danske Bank, Claus Grand Bang, Head of Data & IT at DanBred, and Boyan Vasilev, Senior Manager of Data Science & Engineering at Unity. Together, they explore the impact of data-driven decision making on modern organizations. They discuss how AI and data analytics shape business strategies, improve decision-making processes, and drive efficiency in industries ranging from finance to tech and agriculture, offering valuable insights for professionals embracing digital transformation."

  2. Research2024

    Danske Bank Research - Vi har tæret mere på opsparingen de seneste år

    Co-author of a macroeconomic research publication analysing the financial resilience of approximately 600,000 Danish households, examining spending behaviour, savings adequacy, and demographic risk factors across age groups and regions. The analysis was achieved using a high-frequency transaction data pipeline and statistical model I co-developed, introducing a new approach to measuring the economic stability of Danish households. The paper received national media coverage in six major Danish outlets, including Børsen, Berlingske, and Politiken

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    Media coverage

  3. Research2024

    Spending Monitor - Retail spending is struggling

    An example of the spending monitor report which is based on my work.

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