AI/ML Senior Analyst to Regulatory Analytics & Automation

Nordea is a leading Nordic universal bank.

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.

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.
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  


For union information, please contact Finansförbundet at finansforbundet@nordea.se or SACO at SacoNordea@nordea.com.