We are looking for a Data
Engineer with a sense of business for investment funds
or insurance to help develop the Solvency II, Investment
database . This is an opportunity for you work
within the field of Data Engineering in a dynamic environement and be exposed
to Big Data.
In today’s world, change is the one thing you can count on. But whatever the future brings, our customers remain at the heart of everything we do.
That’s where you come in. Working with dedicated colleagues in an exciting, fast-paced environment, you’ll help meet our customers’ changing needs.
We aim to be courageous and explorative in our approach to innovating better ways of delivering banking services – anytime, anywhere. This means you’ll have many opportunities to learn and grow as you build your career with us. Will you help us lead the way in creating great customer experiences?
Your future responsibilities
You’ll join NLP Holding Data Managment & Buisness
Development in Global Investment Ops where we deliver Data engieering STP solution for
Solvency II asset data, as well as proprietery Machine Learning based tools
to our stakeholders in GIO, Investment and Finance.
What you'll be doing:
- You'll be process owner of the asset data
delivery to the Solvency II engine.You'll also support the developement of
the database for use in Investment, Finance and other critical NLP
processes.
- Finally,
cherry on the cake, you'll be exposed to proprietary Machine Learning
algorithms and be able to particpate in the development of STP, ML solution
for our stakeholders.
You'll be part of a Nordic team of 4 based
in Bergen, Stockholm and Helsinki and also interact with colleagues from local
NLP units and Nordea Investment Management.
Who you are
Collaboration. Ownership. Passion. Courage. These are the four key values that guide us in being at our best. We imagine that you enjoy learning and are excited about bringing your ideas to the table. You’re dependable, willing to speak up – even when it’s difficult – and committed to empowering others.
Your profile and background:
- At least a bachelor in computer science, engineering, maths or other science fields.
- Experience/interest in the fields of insurance or market finance as we deal with financial investment.
If this sounds like you, get in touch!
