Data Analyst in Financial Crime Prevention

Job ID: 13892

Come and join the dynamic fight against international financial crime using the latest technologies and processes in a leading financial institution!

Due to the continued success of the Data team within FCIIA, we are looking for a data analyst to expand the team.

Joining the Data team will provide you with multitude opportunities to expand your capabilities across a full spectrum of data related activities.
 

- Utilise modern data management tools and techniques to assist in the maintenance and expansion of a robust Hadoop data foundation, used to facilitate FinCrime investigations.

- Provide key input into the design and implementation of data augmentation processes that join complex data sources.
- Be part of the team building next generation data monitoring capabilities; and Analyse complex data sources to provide informed and evidenced answers to evolving Financial Crime questions.

Key to our success is the gift of having an enjoyable working environment with intellectual, driven colleagues, who are keen to solve issues and continually improve the data landscape.

At Nordea, we’re committed to being a partner our customers and society can count on. Compliance and integrity go hand in hand. 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 Financial Crime Investigation, Intelligence & Analytics (FCIIA) unit in Group Financial Crime Prevention (GFCP).

What you’ll be doing:
- Analysing Hadoop to validate data sources have been ingested as per specification.
- Identifying complex undocumented relationships across disparate data sources.
- Driving the build-out of complex data solutions to facilitate harmonised and simplified data consumption by our down-stream products.
- Integrating with large-scale change programmes to understand and control impact, acquire and implement benefits and improve data quality.
- Producing standardised data focussed requirements to be implemented by our IT partners.
- Document data standards, including definitions, business rules and data quality controls.
- Analyse complex data sources to provide informed and evidenced answers to evolving Financial Crime questions.
- Drinking coffee – (not strictly essential, Tea and Water are both acceptable alternatives).
- Supporting IT architects and projects in mapping of technical tables and fields to data asset-specific data standards.
- Measuring compliance with the data standards and defined data quality targets.
- Liaising with Data Owners, architects and analysts across GFCP and the wider bank to strengthen and continually enhance our data offering.

FCIIA is responsible for the management of cross jurisdictional special investigations and coordination of both operational and strategic intelligence development. We currently have opportunities for curious, driven Data Analysts who are comfortable working on their own or as part of a small team to support the FCIIA Data Asset Owner enhance and govern a multi-layered data landscape.

Our key focus is building and maintaining Advanced Financial Crime capabilities and solutions. We endeavour to continually make improvements to ensure on-going compliance with regulatory requirements and deliver solutions and services that help proactively prevent financial crime.

You are a person who understands data. You can analyse it to answer queries, but also understand where potential limitations exist and can creatively resolve them in either a tactical or strategic manner. The role will allow you to work across several key business units and will offer great opportunities for the right candidate. The position is likely to require some travel to other Nordea international sites. The role is based in Tallinn, Estonia in our modern offices in Ülemiste City.

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 build a successful career with us, you’ll work well with others and always act with the stakeholders’ needs in mind. You love learning and trying new things, and you’re excited about bringing your ideas to the table. You’re honest and dependable, willing to speak up even when it’s difficult, and committed to empowering others. You’re passionate about doing a great job.

You have a passion for data and quantitative analysis, you are able to access databases and write your own scripts, and to perform all kinds of data analysis.

Your experience and background:
- At least intermediate level experience using tools and languages such as Excel, SQL, Hadoop, VBA, R and Python.
- Academic degree in highly quantitative discipline or specialisation such as Computer Science Physics, Mathematics, Engineering or Finance.
- Excellent English. You will be expected to freely communicate with and present to colleagues and managers at various levels of seniority.
- Good interpersonal and stakeholder management skills. You enjoy collaboration in a diverse and multicultural environment.
- You are proactive and bring a strong sense of ownership for your tasks and responsibilities.
- You can be relied upon to complete work assigned to you in a timely manner.
- You understand the principles of working with an Agile development approach.
- You are excited to share ideas and findings with your team.

Your application will benefit from demonstrating experience in the below:
- Financial crime prevention.
- Financial industry expertise.
- Experience of working in large scale change programmes.
- Experience using relational databases e.g. Oracle, SQL Server.

If it sounds like you, get in touch!

Next steps

Submit your application no later than 30/11/2022. For more information, you’re welcome to contact Simon Warthoe

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.