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Do you want to be a part of shaping the future of fraud prevention in one of the largest financial institutions in Northern Europe?
Now you have that opportunity – to become part the Fraud Machine Learning, Data & Analytics (MLDA) team of our Fraud Management organisation. We are looking for an experienced leader to manage the Data Science team, within our Machine Learning, Data & Analytics area, which is comprised of dedicated experts, within different areas of expertise. The team is responsible for creating high performing machine learning models for the whole fraud area as well as productionisation of these models, data ingestion and documentation.
MLDA is responsible for executing Danske Bank’s Fraud strategy and is currently building up fraud competencies as part of a new fraud detection setup. Our goal is to create an excellent customer experience, and reduce the impact of fraud.
You will play a key role in securing our customers and the bank against fraud on a daily basis using data and Machine Learning. You will work closely with colleagues in payment, card and lending areas in order to align on various work streams and deliverables.
Your official title will be Head of Machine Learning.
The MLDA team is composed of 22 people located in Lithuania, Denmark, India, Norway, UK and Poland.
We cover four distinct areas – data, cards and account-to-account (payments); including the arguably strongest machine learning unit in Danske Bank.
You will:
- Ensure delivery of top-notch machine learning models for fraud prevention
- Coordinate team day-to-day work, ensure resolution of roadblocks
- Act as a thought leader, inspiring discussions on methods and best practices; Ensure continuous education and expansion of competences in the team
- Proactively seek out new areas of engagement and ways to support financial crime prevention
- Ensure adherence to regulatory requirements, documentation and model risk framework
- Work closely with colleagues from other entities, including IT departments, to ensure the implementation of our Fraud Strategy
About you:
- Hands-on implementation experience with machine learning.
- Formal education in machine learning at minimum post-graduate level, PhD preferred
- Experience managing teams working in Agile principle
- Knowledge of fraud investigation process and fraud analysis capabilities will be a distinct advantage
- Advanced knowledge of data extraction using SQL and data visualization using Tableau will be an advantage
- Fluency in written and spoken English
- Experience with fraud monitoring or detection tools is a plus
- Curious by nature and ability to adjust on evidence-based feedback
- Willingness and ability to challenge status-quo
- Eagerness to develop and learn new skills and participate in continued education
- Can-do attitude and strong collaboration skills
- Possess an analytical mind set and a fact-based approach
- Understanding the need of balancing fraud prevention and customer convenience
- Result-oriented and with a positive mind-set and proactive attitude
We strongly encourage applications from enthusiastic candidates with partially overlapping backgrounds.
We offer
Monthly salary range from 4160 EUR to 6240 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; health insurance from the first day of employment; mental well-being practices; partial psychologist counselling compensation; silence and sleep zones at the office; game rooms;
- Hybrid working conditions: home office budget (after the probation period); modern Danske Campus workplace developed with anthropologist for the best employee experience;
- Additional paid days off: 2 to recharge, 2 sick days, 1 for volunteering, for round birthdays, for seniority in Danske Bank;
- Monetary compensation package: accidents & critical diseases insurance; financial support in case of unfortunate events, travel insurance; IIIrd Pillar Pension Fund contribution after 1 year of working;
- Additional days of vacation
- Additional days of vacation
- Additional days of vacation
- Additional days of vacation
Vietovė
- Vilnius, Vilniaus apskritis, Lietuva
Laikas
- Visa darbo diena
Kalbos
- Anglų
- Lietuvių
Nicholas Anders Clark
+45 53 84 80 30
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.