Data Analyst
Tallinn, EE, 11415
Nordea
Nordea is a leading Nordic universal bank – we are a strong and personal financial partner with financial solutions that best meet your needs so you can achieve your goals and realise your dreams.Job ID: 16324
Do you want to make a difference, by preventing financial crime? Do you like to work on solving problems, by the use of data and statistical analysis? Then look no further!
We are now looking for a (senior) Data Analyst to join Group Financial Crime Prevention (GFCP) Transaction Monitoring unit to support us in further developing our monitoring capability and improving our data quality. 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.
You will play a part in building a better bank that fulfils a meaningful role in society. So bring your ideas, skills and unique background. You’ll be in good company with plenty of opportunities to collaborate, grow and make your mark on something bigger.
About this opportunity
Welcome to the Transaction Monitoring (TM) unit in Group Financial Crime Prevention. Our unit adds value by building and maintaining best in class transaction monitoring controls, to secure that our customers and Nordea will not be used in illegal ways in the society.
As the Data Analyst, you will be joining one or several of our ongoing change initiatives to develop and improve TM controls. We’re committed to dynamically fight against international financial crime by using the latest technologies and processes, and for that reason we are data driven into the core. You will learn about Nordea products and as a data expert, you will play a crucial role in ensuring that data is correctly identified, utilised and understood, in order to develop efficient controls.
What you’ll be doing:
Depending on the specific area you work on, some of the tasks might vary but high level we expect you to:
- Work together with business stakeholders, to understand the underlying business needs and requirements and translate that into technical analytics and actionable insights.
- Use your data expertise and strong analytical skills to support the decision making process in the implementation of Transaction Monitoring controls based on analysis findings.
- Perform statistical analysis on complex and distributed datasets. Utilize various statistical models to gather evidence for proposed changes.
- Navigate a vast and complex data ecosystem to support the sourcing of new data into our data lakes.
- Identify data gaps and quality issues through data visualizations and analysis results. Find solution and remediating issues.
- Support and contribute with improving research, processes and data expertise in the team.
You’ll join a team driven by curiosity and exploration with a high sense of ownership and drive. Your new colleagues have a mix of backgrounds in statistics, data, science and business. The role is based in Tallinn; Helsinki; Stockholm; 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 side and the data behind.
- Have excellent communication skills and are able to communicate technical or complex matters to business stakeholders in different levels of the organization, both in writing and via presentations.
- Have a sense for how to translate large data sets into actionable insights. You think both analytically and intuitively to uncover user needs. You are more interested in what the numbers tell you than the numbers themselves.
- Are passionate about data and quantitative analysis and you are creative and adopt your analysis methods, to fit the business needs.
- Are a true team player, thrive on feedback and want to secure everyone's success in fighting against financial crime. You build relations professionally across the organisation to improve your own work.
- Are organised, structured and professional in taking initiative and work proactively under own direction, in a changing environment.
Your experience and background:
We understand that the ideal candidate will not tick all boxes below, but they indicate experience we have seen in successful team members.
- Experience as data engineer / data analyst with expertise in SQL, ETL processes, data ingestion design and data modelling, combining data from multiple different sources.
- Experience working with simulation and forecasting and data suitability.
- Experience working with Excel, Python, VBA, R. Additional experience with Hadoop, User Acceptance Testing and Quantexa are considered a plus.
- Experience working with data quality remediation.
- Strong delivery record, ideally in the context within complex business areas.
- Its considered a plus but not necessary if you have previous experience within Anti Money Laundering, Transaction Monitoring and optimization of controls, or related anti financial crime disciplines.
- Its considered a plus but not necessary if you have past experience with specific financial products, for example, SWIFT payments, correspondent banking, trade finance, financial and capital markets products.
- Fluency in spoken and written English is required.
If this sounds like you, get in touch!
Next steps
Submit your application no later than 06/05/2024. For more information, you’re welcome to contact Jessie Kristina Grønvall, kristina.gronvall@nordea.dk.
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.
Please be aware that any applications or CVs coming through email or direct messages will not be accepted or considered.
If you are an external consultant interested in this role and wish to apply please contact the hiring people leader for separate instruction on how to apply.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Data quality ETL Excel Finance Hadoop Python R Research SQL Statistics Testing
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