Financial Crime Model Validator: ML & Rules

Swedbank; Sundbybergs kommun; On-site; SEK 391,000 - 750,000; Full time

Benefits offered by this job

Pension plan

Share-based reward program

Health insurance (Baltics)

Health allowance (Sweden)

Job summary

Swedbank seeks a professional to validate financial crime risk models, including rule-based and machine learning approaches. You will assess objectives, design, data, governance, and ongoing monitoring, delivering validation reports that support the bank's model risk management.

Location includes Stockholm HQ with collaboration across Riga, Tallinn and Vilnius. Salary details vary by country (Estonia, Latvia, Lithuania) and are disclosed with the posting.

Qualifications

• Degree in a quantitative field (e.g., CS, data science, statistics, economics).
• Experience in assembling and analyzing large datasets.
• Experience in SQL and querying large databases.
• Experience with rule-based and ML models (supervised/unsupervised).
• Experience with Azure.

Responsibilities

• Perform independent model validations of financial crime risk models (rule-based and ML).
• Assess model risk across objective, design, data, governance, and performance.
• Deliver high-quality validation reports for model development and governance in the 1LoD.
• Proactively challenge the 1LoD with evidence-based findings.

Skills

SQL

Python

Data analysis

Model validation

Stakeholder management

Azure

Communication (English)

Education

Quantitative degree

Tools

Python libraries

Job description

Swedbank seeks a professional to validate financial crime risk models, including rule-based and machine learning approaches. You will assess objectives, design, data, governance, and ongoing monitoring, delivering validation reports that support the bank's model risk management.

Location includes Stockholm HQ with collaboration across Riga, Tallinn and Vilnius. Salary details vary by country (Estonia, Latvia, Lithuania) and are disclosed with the posting.