Job ID: 27837 

Would you like to help us implement AI/ML solutions in a fast paced and dynamic team within the regulatory field? We are now looking for an AI/ML Senior Associate - Analyst to join the Regulatory Analytics & Automation team in Nordea.

At Nordea, we are committed to being a partner with our customers and society can count on us. 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 big.

About this opportunity

Welcome to the Regulatory Analytics & Automation team. We are a team of 12 members located in Stockholm, Helsinki, Gdańsk, and Warsaw. We add value to Nordea by delivering ad hoc regulatory reports to regulators, and automating existing manual processes by analyzing large datasets, bringing our perspective to business events and new regulations.

We are now progressing our team’s journey from Analytics & Automation towards AI/ML. And we want to explore the opportunities within regulatory reporting domain where AI/ML solutions can be implemented to strengthen our reporting capabilities.

As a AI/ML Senior Associate - Analyst you will play a crucial role in delivering AI/ML agenda of Regulatory reporting unit aligned with Nordea’s commitments and obligations towards our regulators.

What you’ll be doing:

• Work with the different processes across regulatory repots (COREP, FINREP, AnaCredit, ESG etc.) and identify use cases to implementation of AI/ML
• Assess the uses cases and Nordea’s regulatory reporting dataset and propose infrastructure and architecture to enable AI/ML solutions
• Design machine learning systems
• Research and implement machine learning algorithms and tools
• Manage and direct research and development processes to meet the needs of our AI strategy
• Develop machine learning applications in alignment with project requirements and business goals
• Perform machine learning tests and statistical analysis in order to fine-tune the machine learning systems
• Select appropriate datasets and data representation methods
• Extend existing machine learning libraries and frameworks
• Train systems and retrain as necessary
• Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions
• Advise leaders on technology, strategy, and policy issues related to AI/ML
• Work with large datasets and analyse the development of finance, credit and capital risk data

The role is based in Gdańsk; 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:

• Mindset: Curious mindset and genuine interest working with large volume of data in multiple databases, and analytical mindset for analysis with technical mindset to resolve data issues or build solutions for the issues
• Data Strategy and design: Demonstrate strategy with unstructured processes and data related tasks, and logically design data to fit the requirements of stakeholders
• Big picture: Demonstrate ability to understand the big picture
• Flexibility & Reliability: Can take on unstructured assignments, discerns what is important, develops appropriate action plans and demonstrates ownership
• Drive & Motivation: Can successfully handle multiple tasks, persists in the face of adversity, and takes both initiative and accountability for improving his/her own performance
• Judgement: Displays good judgement, thinks ahead, anticipates questions and prioritises work tasks appropriately

Your experience and background: 

• Minimum 3 years of experience applying AI to practical uses
• Experience with deep learning, NLP, and TensorFlow
• Experience writing robust code in Python, Java, and/or R
• Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
• Knowledge of basic algorithms and object-oriented and functional design principles
• Knowledge of data structures, data modelling, and software architecture
• Knowledge of math, probability, statistics, and algorithms
• Knowledge of machine learning frameworks such as Keras and PyTorch
• Knowledge of machine learning libraries such as scikit-learn
• Excellent communication skills
• Strong analytical and problem solving skills

If this sounds like you, get in touch!

Next steps

Submit your application no later than 15/01/2025.
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. 

The recruitment process consists of the following steps: 

• Preliminary CV selection 
• Phone conversation 
• Online interview with the hiring leader  + case study 
• Background check  

We enable dreams and aspirations for a greater good. 
 
We build relationships. We add a personal touch to everything we do – when advising our customers, collaborating with colleagues, and meeting our potential candidates. 
 

We learn and develop. We take pride in being experts and thinking ahead. We use our expertise to meet our customers’ needs, from the simplest to the most complex. We bring a growth mindset to our work that enables us to focus on a broader perspective in our daily challenges.  
 

We lead change. We are responsible and aware of the impact of our decisions, both for our customers and for our local and global communities. Mindful of our responsibility towards current and future generations, we have made sustainability an integrated part of our business strategy.  
 

We are Nordea. We have a 200-year history of supporting and growing the Nordic economies and our values are deeply rooted in these open, progressive and collaborative societies. As one of the biggest employers in the Nordics, Poland and Estonia, you have excellent opportunities to evolve, develop and move forward with us.  
 
Only for candidates in Sweden: For union information, please contact Finansförbundet at finansforbundet@nordea.se or SACO at SacoNordea@nordea.com. 
 
Only for candidates in Poland: Please include permit for processing personal data in CV as following:  
  
In accordance with art. 6 (1) a and b. Regulation (EU) 2016/679 of the European Parliament and of the Council of 27 April 2016 on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (General Data Protection Regulation) hereinafter ‘GDPR’. I agree to have: my personal data, education and employment history proceeded for the purposes of current and future recruitment processes in Nordea Bank Abp.  
  
The administrator of your personal data is: Nordea Bank Abp operating in Poland through its Branch, address: Aleja Edwarda Rydza Śmiglego 20, 93-281 Łodź. Your personal data will be processed for the recruitment processes in Nordea Bank Abp. You have a right to access your personal data, right to rectify and right to delete. Disclosing the personal data in the scope specified by the provisions of Polish Labour Code from 26 June 1974 and executive acts are mandatory. Providing personal data is necessary to conduct the recruitment processes. The request for the deletion of your personal data means resignation from further participation in recruitment processes and causes the immediate removal of your application. Detailed information concerning processing of your personal data can be found at: https://www.nordea.com/en/doc/nordea-privacy-policy-for-applicants.pdf. 
  
We reserve the right to reply only to selected applications.