AML Model Validation Specialist @ SEB (Skandinaviska Enskilda Banken)
(práce v Polsku)

AML Model Validation Specialist @ SEB (Skandinaviska Enskilda Banken)

Polsko

• MSc or PhD in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics, Engineering, Quantitative Finance/Economics, or similar.
• At least 3 years of experience in data analysis, data science, or model development/validation.
• Strong programming skills in Python, R, or another data-oriented language (e.g. C++).
• Solid foundation in statistics, machine learning, and quantitative methods.
• Experience with data modeling, visualization, and database querying (SQL).
• Familiarity with tools such as Collibra, cloud platforms, and data governance frameworks is a plus.
• Excellent verbal and written communication skills in English.
• Collaborative, communicative approach with a team-player mindset.

SEB is a leading Northern European financial services group and one of the largest banks in Sweden and the Baltic countries, renowned for its strong Scandinavian work and organizational culture.

What we offer

• Extensive training and learning opportunities.
• Work-life balance.
• Attractive compensation and benefits.
• Additional days off.
• Possibility to partially work from home.

,[Conducting the validation of AML and other financial crime-related models., Performing qualitative and quantitative analyses, identifying weaknesses, and proposing solutions to enhance model quality., Developing and enhancing tools and processes for model validation, including writing R packages and using Git for version control and repository management., Preparing automated reports in R Markdown, utilizing Plotly for dynamic data visualizations., Presenting validation findings in a structured and insightful manner to internal committees and key stakeholders., Collaborating with departments responsible for model development and management across different countries.] Requirements: MSc, Data analysis, R, Visualization, SQL, Python Additionally: Sport subscription, Private healthcare, International projects, Flat structure, Free coffee, Bike parking, Modern office.

Kategorie

data

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