Would you like to grow into a leading role in two
highly growing areas: anti-money laundering compliance and data science? We are now looking for a Senior Financial Crime Data Scientist with a
strong Statistics or Data Science background. As a Senior Financial Crime Data Scientist
in FCIA you will be working with statistical models, stakeholder involvement,
data transformation, building new capabilities and data products as well
as modelling that supports the unit’s requirement to build the next
generation financial crime solutions.
At Nordea, we’re committed to being a partner our customers and society can count on. 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 bigger.
About this opportunity
Welcome to team FCIA
Development. FCIA, is an exciting new function protecting the bank through
detection of illegal activities exposed to the bank. The FCIA uses advanced
analytics and deep subject matter knowledge via intelligence to
perform complex investigations and intelligence activities, while building the
next generation financial crime. As Senior Financial Crime Data Scientist you
will play a valuable role in applying automated monitoring and building advanced
analytics tools for anti-financial crime subject matter experts to use.
What you will be doing:
- Turn innovative ideas and tactical data tools into reusable data solutions
- Proactively contributing to the build of next generation financial crime solutions including articulating how analytical solutions and data transformations can be integrated into these
- Utilize the knowledge of data to optimize the way complex investigations are carried out using data - A curious mind not afraid to suggest data driven solutions that will increase the bank's effectiveness and efficiency
- Building data pipelines that supports the creation of a continuous risk monitoring capability
- Conduct research to increase the efficiency and effectiveness of the financial crime monitoring
The role is based in Helsinki or Stockholm. You will join a team that is built on hybrid
skill-sets and has a dynamic work environment.
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 a strong cultural awareness and a dynamic/pragmatic approach and willingness to execute things in an end-to-end manner to ensure business benefit realization
- Take
responsibility of own learning by proactively seeking out opportunities
within FCIA i.e. research and explore value-adding solutions, deliver
training to analyst profiles and stay at the forefront of financial crime
trends
Your experience and background:
- A Master's Degree in Engineering, Computer Science, Mathematics or Statistical Sciences. Recent graduates are welcome to apply to this position.
- Excellent English language skills
- Technical understanding covering data processing and software development in distributed systems (Hadoop), data transformation and data pipelines (automating the movement and transformation of data)
- Understanding and technical awareness of Linux and common big data and visualization open source technologies such as Hadoop, Elastic Search, graph databases, entity resolution and network analysis
- Able to work with business stakeholders, facilitate decision making and communicate clearly on complex topics.
- Strong in at least one common data science -oriented programming language such as R or Python
- Excellent knowledge of Data engineering programming languages such as Scala or Erlang
If this sounds like you, get in touch!
Next steps
Submit your application in English no later than 27 October 2019.
For more information, you are welcome to contact Sauli
Pahlman,
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.
