Senior AML Data Analyst

Posted 12 Hours Ago
Be an Early Applicant
Hiring Remotely in Tallinn, Harju Maakond, EST
Remote or Hybrid
3K-5K Annually
Senior level
Fintech • Financial Services
The Role
Lead AML data analytics efforts: extract, transform, analyze and visualize data to detect risks, optimize anti-financial crime solutions, support testing/UAT, collaborate with stakeholders, and drive automation and modernization initiatives.
Summary Generated by Built In
Join our team as a Senior AML Data Analyst!

Yes, you can! That's our attitude towards our work, ambitions, ideas, and relationships. We at Luminor believe that anyone has the potential to achieve big things and encourage everyone to achieve them, professionally and personally.

Whoever you are and whatever your role is, with Luminor, you will get a once-in-a-lifetime opportunity to build a local banking champion.

We are looking for an experienced Senior AML Data Analyst to help us deliver value through data. You will work with data extraction, transformation, analysis, and visualization, using tools such as SQL, Excel, Tableau, and KNIME. We value creative thinking, proactivity, strong analytical skills, and a willingness to continuously learn and improve.


How You Will Make an Impact:
  • Evaluate, lead and support the development, implementation, and optimization of anti-financial crime and compliance solutions and processes

  • Perform complex data analysis to identify trends, risks, and opportunities, providing data-driven recommendations for decision-making

  • Monitor, review, and enhance existing tools and solutions to improve efficiency and effectiveness

  • Collaborate with business and technical stakeholders to gather requirements and deliver solutions that meet business needs

  • Support testing activities, including user acceptance testing, incident follow-up, and solution validation

  • Contribute to automation and modernization initiatives by leveraging data analytics and technology solutions

  • Lead and participate in data analytics initiatives that support strategic objectives and long-term business goals

What Makes You a Great Fit:
  • Higher education in Economics, Mathematics, Business Administration, Information Technology, or a related field

  • At least 3 years of experience in data analysis, visualization and SQL, as well as understanding of relational databases

  • Good knowledge of AML (Anti-Money Laundering) and anti-financial crime processes, as well as understanding of banking products, processes and systems

  • Strong analytical thinking with the ability to transform data into actionable insights

  • Advanced knowledge of Python, R, KNIME, or similar data analytics tools and experience with data visualization platforms such as Power BI or Tableau

  • Strong problem-solving, communication, and collaboration skills, with the ability to manage business processes, work independently, and take initiative

  • Fluent English is required in spoken and written communication due to working on Pan-Baltic level

Why You Will Love Working Here:
  • Flexibility. Flexible working hours, Hybrid work, and the possibility to work from anywhere in the EU, Iceland, Switzerland, and the UK (in total 90 days per year)

  • International teams. Teams that go outside Pan-Baltic borders, where people value challenging work together with good humor and having fun

  • Culture. You’ll be joining a team where things move fast, ideas flow freely, and change is part of the everyday. It’s a dynamic environment that keeps you learning, growing, and never bored

  • More vacation. Additional weeks of vacation are available to all employees who have been in the company for 1 year or more

  • Volunteer time off. We care about giving back to society, therefore, you will get additional days off for volunteering purposes

  • Paid leave. We are proud of our employees who are participating in military training. Therefore, Luminor offers 30 fully paid calendar days for military training every year

  • Health benefits. A competitive benefits package in addition to your salary that includes health insurance after the first 3 months pass in all three Baltic states, as well as Health days in case of your absence due to sickness without a doctor's note needed

  • Wellbeing. Access to tools and resources that help you feel good and be productive at work and in life

  • Professional growth. Internal and external training programs, LinkedIn learning, workshops, conferences, online training, etc

  • Special Offer for Luminor products & services. Enjoy special offers & pricing for products and services provided by Luminor

  • Gross salary. 3,480 - 5,220 EUR/month, which is to be determined depending on your level of experience and competencies

The application deadline is the 8th of August. We are looking for a candidate primarily already located within the Baltics. Please apply with your CV in English and PDF format!

Skills Required

  • Higher education in Economics, Mathematics, Business Administration, Information Technology, or a related field
  • At least 3 years of experience in data analysis, visualization and SQL, and understanding of relational databases
  • Good knowledge of AML and anti-financial crime processes and understanding of banking products, processes and systems
  • Advanced knowledge of Python, R, KNIME, or similar data analytics tools
  • Experience with data visualization platforms such as Power BI or Tableau
  • Proficiency in SQL, Excel, and data extraction/transformation techniques
  • Experience supporting testing activities including user acceptance testing and incident follow-up
  • Strong analytical thinking, problem-solving, communication and collaboration skills
  • Ability to manage business processes, work independently, and take initiative
  • Fluent English in spoken and written communication
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The Company
HQ: Tallinn
2,300 Employees
Year Founded: 2017

What We Do

Luminor is a leading independent bank in the Baltics and the third-largest provider of financial services in the region, offering services such as term deposits, savings accounts, and loans.

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