Are you passionate about machine learning and financial crime risk models?

In Swedbank you have the opportunity to:

• Perform independent model validations of models primarily used in the financial crime risk area, including both rule-based and machine learning models
• Assess model risk from the aspects of model objective, design and construction, assumptions and limitations, data, implementation, model governance, and ongoing performance monitoring
• Deliver high quality and value adding model validation reports which support effective and efficient model development and enhancements of the model risk management in the 1LoD
• Proactively advise and challenge the 1LoD in its activities to develop, maintain and monitor its models, focusing on whether these models adequately mitigate the compliance risks in scope
• Drive and continuously develop the methodology of the model validation process.
• Represent Group Compliance in various fora, committees, and meetings within the Group where relevant
• Be part of our compliance continuous maturity journey and take an active role in supporting Group Compliance in its work around strengthening the tools to combat financial crime

What is needed in this role:

• A degree in a quantitative field e.g. computer science, data science, data engineering, statistics, mathematics, or economics
• Expertise in machine learning (both supervised and unsupervised learning), including relevant programming skills in Python and/or R
• Experience from working with Linear Regression, Logistic Regression, Decision trees, Random Forest, and Isolation Forest
• Expertise in data assembling and analysis of large datasets
• Expertise in SQL, querying and manipulating large databases
• Experience from working in Microsoft Azure
• Familiarity with the retail banking industry, products and services offered, its compliance and operational risks, and preferably model risk management for AML/CTF/FS models is highly beneficial
• Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience
• Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines
• Excellent collaboration skills, enabling effective teamwork and good team spirit.
• Excellent communication skills in both oral and written English for effective collaboration with Baltic and Group colleagues
• Ready to enjoy working in an international environment with colleagues based in multiple locations

With us, you can experience:

• Personal and professional growth through self-leadership and continuous development.
• Meaningful work that positively impacts our workplace, our customers, and society.
• An open and collaborative culture that encourages cross-functional teamwork and provides networking opportunities.
• A supportive and inclusive environment that promotes a balanced and sustainable work-life, with flexible working conditions when suitable for the role.
• Benefits such as our share based reward program Eken, company pension plan, employee offer for banking products, health insurance.

"Join our team and...

be part of a diverse, internationally oriented group of people, who keep oversight on the models that Swedbank uses to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions. Join us in fostering a collaborative and inclusive environment where your skills are not only valued but essential for our success” Fredrik Sandstedt, your future manager.

We look forward to receiving your application by 10.08.2025. 

Location: Riga, Tallinn

If you are employed in Estonia, please note that the salary offered for this position ranges from 3300-4900 €gross i.e. before taxes. Read more here. 

If you are to be employed in Latvia, please note that the salary offered for this position ranges from 3000-4500 € gross i.e. before taxes. Read more here.

We want to inform you that the selection process may begin after the summer holidays.

Swedbank does not discriminate anybody based on gender, age, sexual orientation or sexual identity, ethnicity, religion or disability – everybody is welcome.

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