Financial Crime Data Scientist

Nordea is a leading Nordic universal bank. We are helping our customers realise their dreams and aspirations - and we have done that for 200 years. We want to make a real difference for our customers and the communities where we operate - by being a strong and personal financial partner.

​Job ID: 19046
Would you like to get a unique and exciting opportunity to assist in building “the best in class” Financial Crime Investigations, Intelligence & Analytics function and lay the foundations for the future? We are now looking for a Data Scientist to help shape the future of Nordea’s defence against financial crime.
Nordea is presently raising its ambitions in the Financial Crime area, aiming for best in class processes. The focus on Financial Crime prevention has increased in the Bank during the recent period. Nordea is facing increasing regulatory expectations from Nordic regulators, as well as from ECB and regulators for the international branches. Group Compliance and Financial Crime is therefore in the process of significantly strengthening its capability to guide and support the organisation to meet these expectations.
Financial Crime Intelligence, Investigations & Analytics (FCIIA), situated within Group Financial Crime Prevention, provides specialist capabilities to support enterprise wide Complex Investigations, Proactive Strategic Intelligence and Financial Crime Monitoring capabilities. FCIIA also provides subject matter expertise to support analytics initiative to drive great efficiency and effectiveness across traditional financial crime monitoring and detection capabilities.
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

This is a role within the data science unit of FCIIA with responsibility of aiding cross jurisdictional special investigations and coordinating both operational and strategic intelligence through development of advanced analytics products leveraging network analysis, multi-variate statistics, machine learning, and visualizations.
What you will be doing:
* Turn innovative ideas into reusable data science solutions
* Proactively contributing to the build of next generation financial crime solutions including articulating how analytical solutions and data transformations can be integrated into these
* Utilise statistical methods and machine learning to enhance threat detection and detect suspicious behaviour
* A curious mind, not afraid of suggesting data driven solutions that will increase the bank’s effectiveness and efficiency
* Stay up-to-date on AI, analytics, and financial crime knowledge and share insights with the team
* Take ownership in documenting the models and support the model governance and validation

The role is based in Helsinki or Stockholm. You will join a team that is built on hybrid skill-sets and has a dynamic work environment.
Who you are
We believe that you're an energetic individual who enjoys bringing ideas, exploring their potential, and presenting the results. You're passionate about going beyond compliance to fight financial crime, and you're eager to build machine learning models that can identify complex and suspicious transactional behaviours, ensuring both the bank and society's safety.
Your experience and background:
* Experience in solving business problems with data science solutions
* Experience in machine learning, data analytics and statistical modelling
* Have a Master’s degree in statistics, mathematics, computer science or related field
* Proficiency in SQL and Python
* Ability to communicate clearly on complex topics
* Enjoy collaboration with team members and stakeholders
* Fluency in English
* Experience working in financial crime prevention within the financial services industry is a nice to have

If this sounds like you, get in touch!
Next steps

Submit your application no later than 22/03/2024. For more information, you’re welcome to contact Satu Suolinna at [email protected], Head of Data Science 3 in FCIIA. Please note that we proceed with potential candidates already during the application period.
At Nordea, we know that an inclusive workplace is a sustainable workplace. We deeply believe that our diverse backgrounds, experiences, characteristics and traits make us better at serving customers and communities. So please come as you are.
For union information, please contact Finansförbundet at [email protected] or SACO at [email protected].
Please be aware that any applications or CVs coming through email or direct messages will not be accepted or considered.