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Would you like to further develop your data analysis and modelling skills and use your expertise in an area with large impact for our business? Join the Decision Modeling team and become a Nordic frontrunner in automated credit decisions.
At Danske Bank, we are committed to be on the forefront of digital development in a pursuit to create the bank of the future. To do this, we need skilled professionals and highly motivated employees with a drive to innovate and a courage to challenge the way we do things.
Decision Modeling has a mission to disrupt traditional credit granting processes and put customers first by fast and transparent credit decisions. Our focal point is to ensure high customer satisfaction in everything we do. Some of the key aspects that will take us there are automated decisions in the customer journeys by creating standardised processes and minimizing resources spent.
You will be part of Decision Modeling, a team consisting of 50 employees working from our offices in Copenhagen and Vilnius. We are a team with a flat structure and an informal atmosphere. We operate in a dynamic environment with many stakeholders. For us to reach out targets, we must cultivate a supportive and professional team atmosphere which requires high integrity, good collaboration skills, and team spirit.
You will work in a self-organised Agile Squad and Data AoE, which combines experienced domain expert knowledge and data skills to secure accurate and fast credit decisions to our customers. Your role will be a mix of a Data Scientist and a Data Engineer where we eliminate the boundaries between the two areas in order to decrease handovers and increase end-to-end ownership of tasks. With your analytical mindset, attentiveness for detail and sense for good data quality, you will contribute to continuously improving our customer solutions.
You will be located in Vilnius, Lithuania.
**Please be aware that due to the holiday season, interviews will start from July.
You will:
- Be responsible for ensuring best practices of how to use data and analytics directly in credit decisions and contribute to the automation of the customer journeys
- Collaborate closely with key stakeholders across risk, credit, AML, IT, and business in order to capture the necessary business understanding and secure the correct implementation of business requirements in the credit decision models
- Work with data analysis and profiling, data handling and manipulation
- Support data collection for credit decision flows and AML models
- Prepare, test, and implement the production set-up
- Ensure the right data quality in model inputs and outputs
- Develop and maintain end-to-end flow for automatic credit decisions
- Support customer journeys with efficient IT solutions
About you:
- 2+ years of relevant work experience in Data Science/Engineering
- A degree in Computer Science, Data Engineering, Mathematics, Physics, Programming, Statistics, or other relevant fields
- A strong interest and experience in data analysis and transformation
- Experience working with data (SQL and Python)
- Pro-activeness, creative problem-solving skills with the ability to self-organize and challenge ideas
- Great collaboration skills and interest in learning and developing your skills
- The ability to communicate technical results in a non-technical and concise manner
- Upper-intermediate English, both spoken and written with solid communication skills
We offer
Monthly salary range from 2680 EUR to 4020 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
- Health insurance
- Third pillar pension fund
Место работы
- Vilnius, Vilniaus apskritis, Литва
Тип работы
- Полный рабочий день
Языки
- Английский
- Литовский
Data Scientist for Decision Modeling
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.