Lead Generative AI Data Scientist

1 month ago

Stockholm, Sweden Nordea Bank Full time

Job ID: 26653

Join our team and use your expertise to fight crime We are seeking a Data Scientist to work with our dedicated professionals in the realm of anti-money laundering (AML), counter-terrorist financing (CTF) and fraud. Our team focus on building machine learning models to detect financial crimes. What can be more rewarding as a data scientist than dedicating your time to fight one of our society’s biggest threats?

At Nordea, we’re committed to being a partner that our customers and society can count on. Joining us means you’ll have an impact on how we do banking – today and tomorrow. So, bring your ideas, skills and unique background. With us, you’ll be in good company with plenty of opportunities to collaborate, grow and make your mark on something bigger.

About this opportunity


Nordea is looking for a Lead Data Scientist to lead the development of new Generative AI model driven solutions to combat financial crime globally. The role will report directly to the Head of Data Science in the unit of Financial Crime Intelligence, Investigations & Analytics (FCIIA).

This position is available in Stockholm and Helsinki.

What you will be doing

You will be leading a team of data scientists focused on Generative AI, specifically using previously trained Large Language Models (LLM’s), to process large corpuses of text and other unstructured data.

Your responsibilities:

Collaborate with financial crime experts to uncover illicit behaviours using data and AI Guiding and mentoring the team using prior experiences developing LLM based solutions Work in close partnership with business stakeholders Ensure all solutions in your domain are developed in an efficient and responsible way

Who you are

Collaboration. Ownership. Passion. Courage. These are the values that guide us in being at our best – and that we imagine you share with us.

Your experience and background

Excellent leadership and stakeholder management skills, both with delivery teams, peers, sponsor, and leadership, maintaining a balance between the value of the end product, stability of the solution developed and agility, speed & cost by which it is developed Excellent business English and the ability to explain complex technical, modelling and financial concepts and results to a wide variety of audiences – in both written and verbal settings Extensive experience with applied data science and prototyping, including working with datasets, analysing them with SQL, Python, R, or other languages for prototyping data driven solutions that are efficient from day 1

If this sounds like you, get in touch

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