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If you are fascinated by defining modelling solutions, which are used in the financial world, we cant wait to connect with you!
In our team, we calculate the financed carbon emissions*, design the climate stress testing models** and find new data sources (both internal and external) to quantify risks related to environmental, social and governance factors – short ESG risks. Our data and modelling solutions are crucial input for many risk management processes in the Group and – at the same time – there is a strong focus from the financial regulators on our work.
We are a team of Data Scientists located in Vilnius and Copenhagen and are set to use our data, programming and risk-management skills. We focus a lot on analysing new ESG data, merging it with our internal data, making various portfolio analysis and also define simple mathematical solutions. Collaboration is an absolute high priority and with a colleague as your buddy to support you during your first months, you will quickly gain experience. As part of this, you will also engage with peers, external data vendors and internal stakeholders across the Group in order to collect & analyse the relevant data and to obtain the necessary understanding of the results.
We hope you are interested in calculating the financial impacts of climate changes and we are looking forward to hearing from you! The position is located in Vilnius.
Depending on your experience and knowledge, we may offer you different seniority of the role.
* cf. PCAF standards (https://carbonaccountingfinancials.com/files/downloads/PCAF-Global-GHG-Standard.pdf)
** cf. ECBs report on good practices for climate stress testing (https://www.bankingsupervision.europa.eu/ecb/pub/pdf/ssm.202212_ECBreport_on_good_practices_for_CST~539227e0c1.en.pdf)
You will:
- Work with data to support our risk-management efforts. This includes, e.g., various data preparations and analyses mainly using SQL and Python
- Find new data sources (both internal and external) and engage with data vendors to enable necessary ESG data collection
- Develop and refine our modelling approaches to ESG risks, e.g., the calculation of financed emissions
- Become the technical expert of our climate stress-testing engine, which runs in PySpark on Hadoop (models will migrate to AWS cloud soon)
- Provide expertise and insights to stakeholders and model users across the Group for risk-steering and management
- Document and present your findings in an easily understandable language
About you:
- Higher education in a quantitative science (e.g. mathematics, physics, economics, engineering, statistics or similar)
- Experience in data and modelling
- Great Python skills and good knowledge of SQL
- Advanced English skills (spoken and written)
- High focus on collaboration
- Generally, you have a keen interest in working with risk management and enjoy data collection
- Experience with credit risk models (e.g., probability of default, loss given default, exposure at default) and risk management in the financial sector will be considered as beneficial
We offer
Monthly salary range from 2640 EUR to 3960 EUR gross (based on your competencies relevant for the job).
Additionally, each Danske Bank employee receives employee benefits package which includes:
- Growth opportunities: professional & supportive team, e-learnings, numerous development programs; (incl. professional certificates); 100+ professions for internal mobility opportunities.
- Health & Well-being: a diverse, inclusive, work & life balance work environment; additional health insurance; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms.
- Hybrid working conditions: Work from home up to two days a week; home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience.
- Additional days of leave: for rest, health, volunteering, exams in higher education institutions, and other important activities. Moreover, for seniority with Danske Bank.
- Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution.
- Additional days of vacation
- Canteen services and free fruits
- Third pillar pension fund
- Free parking & charging ports - cars, bicycles, e-scooters
Location
- Vilnius, Vilniaus apskritis, Lithuania
Time of work
- Full-time
Languages
- English
- Lithuanian
Data Scientist in ESG Risk Methods and Analytics
Consider us as “the engine of the bank” – while we do not provide banking services to customers in Lithuania, we are the brain and muscle behind many of Danske Bank’s services to our global customers. Our high-quality delivery and can-do approach led us to becoming a strategic site for Danske Bank, an international community of 22,000+ colleagues worldwide.
Danske Bank Lithuania is Danske Bank’s strategic unit, providing finance, IT and global business services to serve our customers worldwide. We are on a journey to push the banking boundaries and make constant improvements in how we operate. We aim to do this by combining the best of two worlds: the strengths of what Danske Bank has built over 150 years and the approach of start-ups to what we are going to create in the future.
We see diversity as our potential, and the cornerstone of our company’s success, that will ensure our continued competitiveness and innovative strength.
We try to create an inclusive workplace where differences are our strengths and where people feel valued and can realise their full capabilities.
Because of that, the critical focus point for us is to be able to recruit, develop and retain employees without attaching any specific labels to them.