Sanctions Application Design & Model Risk, Assistant Vice President

State Street UK

Kraków, Poland
Minimum: zł182,004 annual; discretionary annual pe...
Hybrid (3 days onsite, 2 days remote)
Sanctions screening model design and validation
Python and sql programming proficiency
Machine learning and nlp application in compliance
State Street UK is seeking an Assistant Vice President for Sanctions Application Design & Model Risk Management in Kraków or Gdańsk, Poland. The role requires expertise in sanctions screening models, quantitative analysis, and model risk management, with a focus on compliance and technological integration

Job Summary

  • This role is critical to ensuring sanctions screening models are robust, well-governed, and fit for evolving regulatory requirements.
  • The position involves leading model upgrades, conducting quantitative performance assessments, and applying advanced analytics like machine learning to reduce false positives.
  • Employees receive a permanent contract from day one, gold medical packages, private pension plans, and extensive development programs.

Matching Summary

Match Score: 85

State Street UK is seeking an Assistant Vice President for Sanctions Application Design & Model Risk Management in Kraków or Gdańsk, Poland. The role requires expertise in sanctions screening models, quantitative analysis, and model risk management, with a focus on compliance and technological integration.

Salary

Minimum: zł182,004 Annual; Discretionary annual performance-based awards available; Benefits include medical package, life insurance, and pension plan

Skills & Requirements

Must-have

  • Sanctions screening model design and validation
  • Python and SQL programming proficiency
  • Machine learning and NLP application in compliance
  • Model Risk Management (MRM) lifecycle expertise
  • Entity resolution and data enrichment techniques

Nice-to-have

  • Experience with Databricks or cloud data environments
  • Strong stakeholder engagement and governance skills
  • Agile project management experience
  • Knowledge of regulatory expectations for financial crimes
  • Ability to lead technical model reviews

Key Requirements

  • Bachelor's or Master's degree in Data Science or related field
  • 6+ years of experience in financial crime compliance or model risk
  • Hands-on proficiency in Python, SQL, and data science frameworks

Work Rights

Not specified

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