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Capco

SME / Delivery Lead – AML Sanctions Monitoring Transformation (She/He/They)

Posted 3 Hours Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Poland
Senior level
Remote or Hybrid
Hiring Remotely in Poland
Senior level
Lead the transformation of sanctions monitoring processes using AI and analytics to improve efficiency and regulatory compliance.
The summary above was generated by AI

CAPCO POLAND

*We are looking for Poland based candidates*

Capco Poland is a leading global technology and management consultancy, dedicated to driving digital transformation across the financial services industry. Our passion lies in helping our clients navigate the complexities of the financial world, and our expertise spans banking and payments, capital markets, wealth, and asset management. We pride ourselves on maintaining a nimble, agile, and entrepreneurial culture, and we are committed to growing our business by hiring top talent.

For our client, we are seeking a senior SME / Delivery Lead to lead a sanctions monitoring transformation combining process redesign, system modernization, and a pragmatic AI/analytics layer. The objective is to reduce false positives, improve matching quality, and strengthen auditability and regulatory defensibility in a highly regulated environment.

Lead the end-to-end rebuild of sanctions monitoring, covering operational processes, technology, and tuning/remediation, with AI-assisted capabilities that improve efficiency while remaining explainable, auditable, and regulator-ready.

Key Responsibilities
  • Own end-to-end delivery of the sanctions screening transformation, including governance, delivery plan, dependencies, vendor coordination, and benefits tracking.

  • Define and standardize operational sanctions screening processes; oversee implementation and ensure remediation actions are delivered effectively and on time.

  • Establish operating controls, including alert triage models, evidence capture, audit logging, SLA management, and confidentiality standards.

  • Provide SME oversight for investigations of potential sanctions matches (name screening), including research, data gathering, and documentation quality.

  • Ensure alignment with Polish AML obligations and GIIF-facing expectations, including escalation and reporting discipline.

  • Partner with Compliance (1LoD / 2LoD) and business stakeholders to issue opinions on higher-risk relationships or transactions and define risk-based control enhancements.

AI / Analytics Layer
  • Drive the introduction of AI/ML-assisted capabilities to reduce false positives and improve matching accuracy, with strong model governance (validation, monitoring, explainability).

  • Coordinate data science, engineering, and compliance teams to ensure AI solutions are auditable, explainable, and defensible to regulators.

  • Leverage AI to accelerate investigation and documentation workflows where appropriate, in line with emerging market practices for AI-supported AML/KYC operations.

Required Experience & Skills
  • 8+ years of experience in AML / Financial Crime operations or change, with strong exposure to sanctions screening and related controls.

  • Proven delivery leadership in regulated environments, including governance and senior stakeholder management.

  • Deep understanding of AML/KYC processes and how sanctions screening integrates with onboarding and ongoing monitoring.

  • Strong analytical mindset with the ability to translate regulatory and business objectives into executable process and system requirements.

Nice to Have
  • Prior experience with sanctions screening platform tuning, thresholds, and name-matching logic (vendor-agnostic).

  • Professional certifications such as CAMS, ICA, CFE, or equivalent.

  • Hands-on experience delivering AI / ML capabilities in compliance contexts (e.g. acting as Product Owner over data science or ML teams).

We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects

Top Skills

AI
Aml
Kyc
Machine Learning
Sanctions Screening

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