Data Scientist for Financial Crime Intelligence Team

Job Description

We have an exciting opportunity for a data scientist to join the Financial Crime Intelligence and Thematic Reviews team, which is part of the Suspicious Activity Reporting Office (SARO), located within the Financial Crime sector of Group Compliance. The team is responsible for undertaking intelligence-led investigations, providing strategic intelligence, and focusing on identifying current and emerging financial crime threats.

Our unit is responsible for knowledge sharing with authorities and internal stakeholders within Group Compliance and Business Units. The work conducted by our unit plays an important role in preventing the bank from being used for illicit activities. We operate in a crucial area, and there is potential for the right candidate to significantly contribute to the professional development of this field.

Your role will include collecting and analysing large sets of data from various sources and helping to produce intelligence reports that highlight current and emerging financial crime threats. You will also develop and implement new analytical methodologies to enhance the detection and prevention of financial crime.

The nature of our work requires an innovative mindset and the ability to switch between tasks. We value candidates who are flexible enough to navigate this type of environment, work independently, and balance multiple high-priority tasks. This position is ideal for someone who is passionate about data and highly motivated to learn from senior colleagues. We value initiative and growth and believe that the most important aspect is not the number of years of experience, but the aspiration to gather knowledge and learn. If you are eager to develop your skills and contribute to a dynamic team, this role could be a perfect fit for you.

• Depending on your experience, we could offer a different seniority level.
  
  

You will:

• Design, build, and maintain ETLs and the infrastructure required for data gathering, analysis, and integration across various systems
• Ensure data integrity and quality by implementing data validation and cleansing processes
• Collaborate with various stakeholders to define and implement data engineering strategies
• Develop and implement new analytical methodologies to enhance the detection and prevention of financial crime
• Clearly document findings and comprehensively utilise them in reporting and investigations
• Participate in group-wide projects, ensuring the collation of data, analysis, information, managing stakeholders, sharing information, and providing management reporting
• Conduct intelligence gathering through the monitoring of internal and external sources, such as public-private partnership forums; analyse the results to identify emerging financial crime threats and participate in analysis to further enhance the bank's financial crime detection capabilities
• Participate in and support strategic data-driven analysis of themes and trends as required
  
  

About you:

Data oriented individual with innovative and creative mindset and willingness to learn and adapt to new ways of working and requirements.

• Hands-on experience with at least one programming language for ETL development (Python or SQL)
• Demonstrated capability in using VBA in Excel to enhance data processing capabilities, automate repetitive tasks, and deliver more insightful and efficient data
• Eager to develop skills in analysing large datasets to identify suspicious patterns and trends
• An understanding of key AML/CFT laws and regulations, both in the Nordics and globally, as well as a good knowledge of financial crime risk typologies
• Organised work style with the ability to address relevant issues professionally
• Flexibility to navigate multiple tasks and priorities efficiently.
• Experience with data visualisation tools (Tableau, QlikView, Power BI) is advantageous but not mandatory
• Advanced English skills, both written and spoken
  
  

We offer:

Monthly salary range applies only if you work in Lithuania from 2680 EUR to 4020 EUR gross (based on your competencies relevant for the job).

Additionally, each Danske Bank employee receives employee benefits package which includes:

• Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
• Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
• Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
• Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
• Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution
  
  

See all the benefits HERE

Your title in job contract will be Data Scientist.

“Be yourself. We like it that way.”

If you want to know more about the job or have any questions, please feel free to contact Anna Kauppinen at [email protected] .

We will be contacting candidates on an on-going basis so please apply today rather than tomorrow. We look forward to receiving your application!

About Us

Danske Bank is a Nordic bank with bridges to the world around us. For 150 years, we have supported people and businesses in releasing their potential. A career with us is an opportunity to join a community of 22,000 colleagues in a culture where we are committed to Teaming Up, Owning It and Being Open. Together, we are on a journey to transform Danske Bank into a better bank. For our customers, our employees and the societies around us.