
Senior Fraud Data Analyst for Internal Fraud Team
at Danske Bank
Posted 3 hours ago
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- Compensation
- €3,600 – €5,400 EUR
- City
- Country
- Lithuania, Poland
Currency: € (EUR)
**Senior Fraud Data Analyst | Internal Fraud Team | Danske Bank** Lead data-driven anti-fraud efforts in Danske Bank's 1st Line Financial Crime organisation. Enhance customer experience and minimize fraud impact. Key responsibilities include optimizing fraud detection systems, reducing false positives, and deriving actionable insights from data. Required skills: proficiency in SQL, experience with big data tools (e.g., Hadoop, Spark), and solid data analysis skills. 5+ years of relevant experience needed. Collaborate with data scientists and specialists in anti-bribery, anti-tax evasion, and internal fraud. Role based in Vilnius, Lithuania or Warsaw, Poland with hybrid work model. Fluent English required.
Location: Vilnius, Lithuania
Do you want to be a part of helping prevent internal fraud at one of the largest financial institutions in Northern Europe?
Now you have that opportunity - to become part of the Internal Fraud team of Danske Bank's 1st Line Financial Crime organisation. Our team is responsible for executing Danske Bank’s Fraud strategy, creating an enhanced customer experience, and reducing the impact of Fraud. Moreover, we are responsible for ensuring an agile, high-performing fraud detection setup across internal fraud.
We are looking for a Senior Fraud Data Analyst to join a team of specialists working on anti-bribery and corruption, anti-tax evasion and internal fraud based in Denmark, Finland and Lithuania.
You have an important role in securing our customers against fraud using data for rule-based fraud detection. You will not be creating Machine Learning models, as that is covered by our Data Scientists.
This role could be based in Vilnius, Lithuania or Warsaw, Poland. Danske Bank supports workplace flexibility, and we currently use a hybrid working model where we work at least three days a week in the office. The relocation allowance isn‘t applicable for this role.
You will:
• Optimise our fraud detection system to reduce false positives and ensure maximum efficiency in detecting fraudulent activities
• Analyse fraudulent transaction patterns, identify trends, and provide actionable insights to mitigate risks and losses
• Propose improvements to our existing fraud detection systems based on data-driven analysis and insights
• Participate in fraud intelligence initiatives, stay up-to-date on industry trends, and incorporate relevant findings into our systems and strategies
• Collaborate with cross-functional teams to develop and implement effective fraud prevention strategies and policies
• Create and maintain detailed reports and visualizations to communicate findings and recommendations to stakeholders and management
About you:
• 3+ year of experience in an analytical or operational role, preferably within the financial crime related industry
• Proficiency in Alteryx, SQL and Python, particularly for building systems for alert generation based on rules and large data sets
• Demonstrated ability to analyze large and complex datasets
• Proficiency in creating BI reports and visualizations using tools such as Tableau, Power BI, or similar
• Comprehensive analytical and problem-solving skills, with a keen attention to detail
• Great communication skills, with the ability to present complex information in a clear and concise manner
• Open-mindedness, with a willingness to consider new ideas and perspectives
• Ownership of your area of expertise, proactively seeking ways to enhance processes and systems
• Advanced skills in spoken and written English
• Experience/knowledge of combating fraud or internal fraud is an asset
• We truly encourage applications from motivated candidates with partially overlapping backgrounds.
We offer:
If hired in Lithuania, your monthly salary would range from 3600 EUR to 5400 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.
See all the benefits HERE.
Your title in job contract will be Data Science.
If you're interested in this role and joining my team, feel free to contact me Marianna Linnik Hansen, Head of 1st Line FC ABC, TE & Internal Fraud via mariaha@danskebank.dk. We will screen the applications on an ongoing basis so if this opportunity sounds exciting, we encourage you to apply.
