Senior Data Analyst within our Group Financial Crime Prevention department

Job ID: 24760 

We are looking for a senior data analyst to join the “Design, Review and Optimise Transaction Monitoring Controls” team. The successful candidate will work with a variety of stakeholders to contribute to strengthening Nordea’s Anti-Money Laundering Controls. This is an opportunity for you to be part of one of the most exciting and challenging efforts going on within Nordea on our journey to fight financial crime.

At Nordea, we see that the world is changing fast – and we want to be one step ahead of the curve. That’s why we’re deeply committed to providing the financial crime prevention solutions of tomorrow to our customers. We’re creating an agile environment where we experiment and grow together – and we need your ideas and unique background. With us, you’ll be in good company, with a chance to make your mark on something bigger.

About this opportunity

Welcome to the “Design, Review and Optimise Transaction Monitoring Controls” team, within Transaction Monitoring (TM) Unit. Our team is part of Group Financial Crime Prevention (GFCP), which provides group-wide solutions to fight financial crime in Nordea. We add value by securing that Nordea will not be used for the purposes Financial Crime that could harm us, our customer and our society. 

Nordea is a full-service bank operating in multiple different Business Area’s (BA’s) such as Large Corporates & Institutions, Business Banking, Trade Finance, Markets, Asset & Wealth Management and Personal Banking. The broader TM Unit supports all these areas offering excellent career development and skill diversification opportunities, should you wish. 

As the GFCP Senior Data Analyst, you will play a valuable role in our fight against financial crime, working with significant amounts of data to extract meaningful insights to develop, review, manage and optimise automated TM controls focused upon Nordea’s business. 

What you’ll be doing:

• Independently driving initiatives, coordinating junior team members and influencing stakeholders to strengthen automated transaction monitoring controls.
• Accessing complex and distributed datasets and perform statistical analysis, simulation of existing controls and assess the impact of specific changes.
• Working with the team and stakeholders to understand business requirement and develop technical design for TM Controls based on data insights.
• Providing suggestions for the re-design of existing TM controls.
• Manage the optimisation of existing TM controls through quantitative data analysis (including Above and Below the Line testing).
• Analysing, assessing and documenting the effectiveness and efficiency of existing automated transaction monitoring controls.
• Representing the organisation with high degree of professionalism in both external and internal context.

You’ll join a team where you can bring your talent and engagement to work in an international and dynamic environment. The role is based in Stockholm; Helsinki; Høje Taastrup; London; Tallinn; Warszawa.

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.  

To succeed in this role, we believe that you:

• Have a business mindset and you are eager to understand both the business and technical sides
• Are passionate about data and quantitative analysis and you can perform all kinds of numerical and statistical analysis
• Are a team player with a positive attitude and want to secure everyone's success in fighting against financial crime
• Are self-driven, result oriented, and able to operate under pressure in a changing environment
• Are honest and dependable, willing to speak up and vocalize your ideas and views 
• Are used to work with and manage diverse stakeholders with divergent needs 

Your experience and background: 

• Advanced proficiency in Python, SQL, R. Proficiency in other analytical tools, including MS Excel, data visualisation software etc.
• Academic degree in highly quantitative discipline or specialization such as Physics, Mathematics, Statistics, Engineering, Quantitative Economics, Computer Science
• Previous experience in the Financial Crime Compliance field and good understanding of anti-money laundering/financial crime controls
• Previous experience in using optimisation algorithms and good statistical knowledge
• Analytical mindset and extensive experience working in data science, analysis and simulation
• Organised, structured and professional in taking initiative and work proactively under own direction
• Strong stakeholder management
• Strong writing and presentation skills
• You are fluent in spoken and