Fund Reporting Data Scientist trainee

Job ID: 19488 

We are looking for a Data science intern to join our team in Lisbon.

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 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.
 
Nordea Asset Management (NAM) is the centre for investment management in the Nordea Group and in the Asset & Wealth Management division. NAM is the largest asset manager in the Nordics with the vision of being a leading European Asset Manager. We want to do this by delivering returns with responsibility. We meet customer demands and guide our customers in the right direction in asset selection while ensuring prudent ESG practices. NAM has around 900 employees and more than 475 Nordic and international institutional clients.


About this opportunity

Welcome to our Institutional & Wholesales Fund Reporting team. The team is part of Nordea Asset Management distribution unit. We seek to provide comprehensive quantitative data to our investors on our products. You will work on initiatives withing our distribution unit involving data science and automation. Either to strengthen our sales/marketing activities or to improve processes efficiency of our processes. 

What you’ll be doing:

• Writing maintainable, performant and well-tested code in Python.
• Work closely with our Distribution business unit to identify issues and use data to propose solutions for effective decision making.
• Explore and examine data from multiple diverse data sources.
• Build algorithms and use machine learning tools and statistical techniques to produce scalable solutions.
• Maintain solution documentation and make sure it is up to date.
• Liaise with stakeholders across the organization to align delivery schedules and priorities.
• Developing your knowledge on the Luxembourg fund industry, regulations, fund management and financial derivatives instruments.
• Test and validate the proper functioning of the solutions in collaboration with the Product Owner and Business testers.
• Working with databases / queueing systems or other data-oriented technologies with a concern for scalability and performance.

The role is based in Oeiras.

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 solid quantitative, analytical, and interpersonal skills.
• Are fluent in English. (Other European language are considered an asset).
• Are curious and eager to apply your skills.
• Are innovative and like to sick news ways to solve issues.
• Are well organised.

Your experience and background: 

• Bachelor or higher in Computer Science, Maths or other numerate subject.
• Education in Computer Science, Statistics, Mathematics, Engineering, or related fields.
• Analytical mindset & high commitment.
• Knowledge of key concepts in Statistics, Mathematics and data science.
• Knowledge or experience in Machine Learning procedures and tasks such as Classification, Prediction, and Clustering.
• Programming skills in Python and knowledge of common numerical and machine-learning packages.
• Prior experience in projects involving curation of large dataset and machine learning algorithm will be considered a plus.
• Knowledge of current Machine Learning/Artificial Intelligence.

If this sounds like you, get in touch!

Next steps

If this is the opportunity you are seeking, please send us your cover letter and CV in English latest on 31/10/2023.
 

At nordea.com you can read more about us, our business and our focus on integrating sustainability into everything we do.

At Nordea, we recruit from the widest possible pool and hire the best person for the job. Because diversity makes us stronger. And once you are on board, you will find that we offer equal opportunities to everyone.

So please, come as you are.