Senior Data Scientist (Anti-Financial Crime)
Join us and get a once-in-a-lifetime opportunity to literally build a local banking champion!
Join our team as a Senior Data Scientist!
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.
Our team is expanding, and we are looking for a new team member.
We are looking for a Senior Data Scientist who will play one of key roles in a newly established Anti-Financial Crime and Compliance team and take a responsibility for a full-cycle development of risk models and other analytical solutions.
The Senior Data Scientist will join the Enhance Due Diligence team within Luminor Anti-Financial Crime which is responsible for risk-based process of conducting more intensive background checks, verification, and ongoing monitoring for higher-risk customers, transactions, or business relationships to identify, assess, and mitigate potential financial crime or compliance risks.
What You Will Do:
- Play one of the key roles in establishing the advanced EDD capability
- Be responsible for the full life cycle design and development of different risk models and other predictive analytical solutions
- Identify and implement the new non-traditional model attributes and data sources
- Make research of new modelling methodologies and help to improve the current solutions
- Work with data analysts and engineers to select the appropriate data sets and data representation methods
- Improve the design of current models via process automatization
- Maintain relationships with a broad range of internal and external stakeholders to ensure successful implementation of new models and analytical initiatives
- Communicate and present the results, findings and detailed technical information in a simple and concise manner
- Transfer the knowledge, mentor and support the junior team members
What We Expect:
- Expert proficiency in Python, with extensive experience using GenAI and machine learning libraries and frameworks, such as LangChain, Streamlit , TensorFlow etc.
- Extensive experience (at least 3-5 years) in modelling, data science and data analysis
- Demonstrated history of delivering complicated models / business solutions
- Experience working with Large Language Model providers, such as Gemini, OpenAI, or Claude
- Understanding of cloud-based platforms and services (AWS, GCP, or Azure), with experience deploying and managing AI/ML models in the cloud.
- Knowledge of main mathematical and data science concepts (probability theory, regression, neural networks, decision trees, etc. )
- Knowledge of techniques and practical experience in data preparation
- At least a Master's Degree in mathematics, statistics, data science, engineering or other STEM field
- Experience in banking, financing, lending services or fintech services
- Ability and desire to share the knowledge and educate other team members
- Ability to present ideas and results in a concise manner
- Fluent English is required in spoken and written communication
Nice to have:
- Knowledge of fraud analysis, KYC, and EDD processes
- Knowledge of SQL and ability to write complicated queries
What We Offer:
- 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
- More vacation. Additional week of vacation 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, workshops, conferences, online training, etc.
- Special Offer for Luminor products & services. Enjoy special offers & pricing for products and services provided by Luminor
- Gross salary. 2,660 - 4,430 EUR/month, which is to be determined depending on your level of experience and competencies
The application deadline is the 5th of September. We are looking for a candidate primarily already located within the Baltics please apply with your CV in English and PDF format!
- Division
- Technology
- Role
- Engineering Transactions Department
- Locations
- Riga, Latvia
- Remote status
- Hybrid
- Employment type
- Full-time

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 we 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 literally build a local banking champion.
About Luminor Group
Luminor is the leading independent bank in the Baltics and the third-largest provider of financial services in our region. We serve the financial needs of individuals, families, and companies. Just like our home markets of Estonia, Latvia, and Lithuania we are young, dynamic, and forward looking.
Luminor has a strong and capable team that is committed to achieving our strategic objectives. We are dedicated to supporting sustainable growth in the Baltic region by providing a long-term commitment to businesses and individuals.
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