Compliance Model Validator | Swedbank
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As a Compliance Model Validator at Swedbank, you perform independent validations of models used in the financial crime risk area, including rule-based and machine learning models. You assess model risk across design, data, implementation, and governance, delivering high-quality validation reports that support the bank's model risk management and its continuous journey to strengthen tools and controls against financial crime.
What you'll do
- 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 model risk management in the first line of defence
- Proactively challenge the first line of defence in its activities to develop, maintain and monitor its models in a constructive and evidence-based manner, focusing on whether these models adequately mitigate compliance risks in scope
- Take an active role in supporting the bank in strengthening the tools and models to combat financial crime
What you bring
- A degree in a quantitative field such as computer science, data science, data engineering, statistics, mathematics, or economics
- Experience in data assembling and analysis of large datasets
- Experience with SQL, querying and manipulating large databases
- Experience with rule-based and machine learning models, including both supervised and unsupervised learning, with relevant programming skills in Python
- Experience working with Linear Regression, Logistic Regression, Decision Trees, Random Forest, and Isolation Forest
- Experience working in Microsoft Azure
- Familiarity with the retail banking industry, its products and services, compliance and operational risks, and preferably model risk management for AML/CTF/FS models
- Strong stakeholder management skills, including the ability to explain complex technical concepts in simple terms to a non-technical audience and to clearly articulate and defend validation findings and methodologies
- Excellent collaboration skills and team spirit
- Strong self-leadership, including the ability to drive and complete tasks independently and deliver to tight timelines
- Proactive and motivated to continuously learn and deepen your expertise in model risk management and model validation
- Excellent communication skills in both spoken and written English
- Readiness to work in an international environment with colleagues based in multiple locations
What we offer
- Personal and professional growth through self-leadership and continuous development
- Meaningful work that positively impacts the workplace, customers, and society
- An open and collaborative culture that encourages cross-functional teamwork and networking
- A supportive and inclusive environment with flexible working conditions
- Country-specific benefits including banking offers, a pension plan, a share-based reward program, health insurance in the Baltics, and a health allowance in Sweden
- Salary range for Estonia: 3650-5450 EUR gross; for Latvia: 3100-4700 EUR gross; for Lithuania: 3950-5950 EUR gross
About Swedbank
Swedbank is a major bank operating across multiple locations including Stockholm, Riga, Tallinn, and Vilnius. The bank uses advanced models to protect itself and society against compliance risks such as money laundering, terrorist financing, and financial sanctions.
