GFCP (Senior) Expert, data analyst combating First Party and Internal Fraud

Nordea is a leading Nordic universal bank. We are helping our customers realise their dreams and aspirations - and we have done that for 200 years. We want to make a real difference for our customers and the communities where we operate - by being a strong and personal financial partner.

Job ID: 21282
Fraud, optimisation, analytics.
Would you like to fight fraud using your analytical and creative problem solving skills? We are now looking for a data analyst to help accelerate the development of our first party and internal fraud capabilities.
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.
About this opportunity
Welcome to Fraud Management. We protect our customers, bank and society against fraud while delivering a great customer experience.
In our team we play a valuable role in directly stopping fraud and help genuine customers experience less friction in using Nordea's services and products.
First party fraud and Internal Fraud is a new responsibility for Fraud Management and you will in this role help implement analytical capabilities in this area as well as own the optimisation of the future monitoring platform.
What you’ll be doing:
* Collaborating closely with our complex investigation team to optimise configuration of our fraud detection rules
* Using our R-based analytical platform to analyse data and test hypotheses as well as build tactical solution
* Learn how our different systems work and use your creativity to find ways of combining the systems capabilities
* Helping prioritise implementation roadmap based on fraud risk and complexity of implementation

You’ll join a multi-disciplinary team located in Stockholm, Helsinki and Copenhagen in an organisation present in all Nordic capitals. This position is open in Stockholm or Helsinki.
The team is responsible for optimising Nordea's fraud detection and has a central role in Nordea's Fraud Management unit. We work closely with the fraud investigators investigating the alerts generated by our systems and tactial solutions, with business units owning the products and services and IT who help develop and maintain our platforms.
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 these roles, we believe that you:
* Have a strong drive and not afraid to try and fail fast
* Enjoy finding patterns and solving logical problems
* Have excellent collaboration- and stakeholder managent skills
* Feel comfortable analysing large and complex landscape of datasets, systems and processes
* Are a curious and quick learner with a proactive mindset
* Are interested in and have a passion for fighting fraud
* Can transform business problems into rule optimisation actions
* Are fluent in English

Your experience and background:  
* Quantitative academically background, such as M.Sc or similar
* Data analysis skills to help back test rules and evaluate controls

It would also be an advantage if you have:
* Experience working with fraud/financial crime detection solutions from vendors such as FICO, Featurespace, SAS, ACI, IBM, BAE
* Working knowledge of SQL, R/Python and data
* Software development concepts, version control, clean code

If this sounds like you, get in touch!
Next steps
Submit your application no later than 05/02/2024. For more information, you’re welcome to contact Huijie Shen, +46 721436396 / huijie.shen@nordea.com.
For union information, please contact finansforbundet@nordea.se or SACONordea@nordea.com.
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.