The Job

Compliance Model Validator

Finance, Banking & Legal · Banking & Investments · Risk Management · Compliance & Regulatory

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In short

Swedbank is seeking a Compliance Model Validator to perform independent validations of financial crime risk models, including rule-based and machine learning approaches. This hybrid role requires strong quantitative skills, experience with data analysis, SQL, Python, various ML models, and Azure, along with excellent communication and stakeholder management abilities. The position is open for applications until October 13, 2026, across multiple locations.

Responsibilities

  • Perform independent model validations of models primarily used in financial crime risk areas, including rule-based and machine learning models.
  • Assess model risk concerning objective, design, construction, assumptions, limitations, data, implementation, governance, and performance monitoring.
  • Deliver high-quality model validation reports to support effective model development and risk management.
  • Proactively challenge the first line of defense constructively and evidence-based.
  • Support the bank in strengthening tools and models to combat financial crime as part of the compliance continuous maturity journey.

Requirements

  • A degree in a quantitative field (e.g., computer science, data science, data engineering, statistics, mathematics, or economics).
  • Experience in data assembling and analysis of large datasets.
  • Experience in SQL, querying and manipulating large databases.
  • Experience in rule-based and machine learning models (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 compliance and operational risks, and preferably model risk management for AML/CTF/FS models.
  • Strong stakeholder management skills, including explaining complex technical concepts to non-technical audiences and defending validation findings.
  • Excellent collaboration skills enabling effective teamwork.
  • Strong self-leadership, with the ability to drive tasks independently and meet tight timelines.
  • Proactive, engaged, and motivated to continuously learn and deepen expertise in model risk management and validation.
  • Excellent communication skills in both oral and written English.
  • Ready to enjoy working in an international environment with colleagues in multiple locations.

Desired Qualifications

  • 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.

Benefits

  • Personal and professional growth through self-leadership and continuous development.
  • Meaningful work that positively impacts our workplace, customers, and society.
  • An open and collaborative culture encouraging cross-functional teamwork and networking.
  • A supportive and inclusive environment promoting a balanced and sustainable work-life.
  • Flexible working conditions when suitable for the role.
  • Country-specific benefits including banking offers, a pension plan, share-based reward program, health insurance (Baltics), and a health allowance (Sweden).
#risk management#compliance#legal#financial crime#model validation#machine learning#rule-based models#AML#CTF#sanctions
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Company

Swedbank

Job Posted

17 hours ago

Expires

in 2 weeks

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Mid-Senior

Locations

Stockholm, Sweden

Rīga, Latvia

Tallinn, Estonia

Vilnius, Lithuania

Qualification

Bachelor

Applicants

Be an early applicant