
at Danske Bank
Investment BankingPosted 12 days ago
No clicks
**Senior Fraud Data Analyst: Reduce Internal Fraud at Leading Northern European Bank** As a **Senior Fraud Data Analyst** for Danske Bank's Internal Fraud team, optimize our fraud detection systems to minimize false positives and maximize efficiency in catching fraudulent activities.Analyze complex datasets to identify transaction patterns, trends, and actionable insights to mitigate risks and losses. - **Key Responsibilities:** Rule-based alert generation, data-driven system improvement proposals, fraud intelligence gathering, cross-functional collaboration, and stakeholder report creation. - **Required Skills & Experience:** 3+ years in analytics/operations, proficiency in Alteryx, SQL, Python, BI tools (Tableau/Power BI), proven data analysis, problem-solving, and communication skills. Experience in fighting fraud is a plus. - **Location:** Vilnius, Lithuania (hybrid work model).
- Compensation
- €3,600 – €5,400 EUR
- City
- Warsaw
- Country
- Lithuania, Poland
Currency: € (EUR)
Full Job Description
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 Banks 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 isnt 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.




