Job description
Are you a Data Scientist? - and are you able to communicate technical information in a non-technical and concise manner, and do you naturally take ownership of tasks, then this opportunity could be something for you!
Portfolio & Loss Intelligence is responsible for the impairment stress test calculation in Danske Bank. This includes maintaining and operating a suite of expected loss, concentration risk and stress test models used in the bank.
You will join a team of 7 employees with solid quantitative backgrounds and be situated in our head office in Copenhagen. Half of the team works out of Denmark, and the other half works out of Lithuania. The team is centrally placed in Group Risk Management and works closely with other risk teams, Technology and Services, CFO area, Risk Tribe, and Business Units.
In this job, you will need to use your analytical powers in unison with your knowledge of models to maintain and implement changes to our expected loss and stress test models. The models are crucial for the bank in order to safeguard the bank as part of the internal risk appetite. The ability to communicate technical information in a non-technical and concise manner and the natural drive to take ownership of tasks is key to succeeding in the role.
Depending on your experience and knowledge, we may offer you different seniority in the role.
Daily tasks:
- Joint ownership of operating the bank’s stress test models, including maintenance and implementation of changes to the bank’s models running in PySpark on Hadoop and a nearby migration of models to AWS cloud
- Driving process optimization across different tasks with a focus on continuous improvement
- Work with the extraction of data from the bank’s systems and use the data to solve requests. These can be specific inquiries from the Banks auditors or model validators, external audit, the Danish FSA, or from senior management
- Working independently on complex ad-hoc requests, where the knowledge of impairments gained from being part of the team will be put to broader use within the bank
Skills:
- Strong Python skills is key as the models are build and operated in Python/PySpark
- Prior experience with Hadoop/AWS cloud is plus
- Similarly, experience from building and/or operating models in a data driven organisation is highly valued – could be skills in model governance, version controlling or similar.
- Knowledge of SQL and Tableau or similar tools would be considered an advantage
- Prior banking experience is not a pre-requisite if you are prepared for a steep learning curve
- Good collaboration skills and ability to coordinate and communicate well with others
- A strong quantitative background (preferably with an associated academic qualification)
- Good English skills (spoken and written)
Like to join us? Send us your application!
If you have any questions, do not hesitate to reach out to First Vice President, Portfolio & Loss Intelligence, Lars Thejls Aagaard at [email protected]
