AML AI Specialist

In4Matic

Brussel

Sur place

EUR 111 000 - 185 000

Plein temps

Il y a 10 heures
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Résumé du poste

In4Matic is seeking a hands-on AML & AI Consultant for a three-month engagement to transform financial crime operations with practical AI tools. You will work with AML analysts and operations leads to identify repetitive tasks and translate them into usable AI-enabled solutions that fit existing governance.

You will build prototypes and pilots, test with end users, iterate quickly, and deliver reusable solutions with clear documentation.

Qualifications

  • AML/compliance and financial crime operations experience.
  • Experience with KYC, KYT, CDD, and EDD.
  • Familiarity with PEP and sanctions screening.
  • Hands-on experience building GenAI solutions.
  • Able to prototype and deliver working AI tools.

Responsabilités

  • Identify repetitive AML tasks with analysts.
  • Prioritize AI opportunities by impact and feasibility.
  • Maintain a pipeline of improvements and use cases.
  • Build and configure AI assistants and agents.
  • Develop prototypes to integrate into workflows.
  • Test with end users; iterate quickly.
  • Ensure AI improvements align with AML controls and governance.
  • Document lessons and deliver reusable solutions.
  • Provide measurable efficiency gains.

Connaissances

AML expertise
GenAI experience
KYC/KYT/CDD/EDD
Operations delivery
Agile delivery
Communication skills

Outils

GenAI tools

Description du poste

We’re looking for a hands‑on AML & AI Consultant to join our client’s team and help transform day-to-day financial crime operations through practical AI solutions. This is a highly delivery-focused assignment for someone who understands AML processes and can translate real operational challenges into usable AI-supported tools. Over a three-month engagement, you’ll identify high-impact opportunities, build and test practical solutions, and demonstrate measurable improvements in efficiency, consistency, and traceability — always keeping human oversight at the centre.

Responsibilities
  • Work directly with AML analysts and operational leads to identify repetitive, manual, and time‑consuming activities.
  • Assess and prioritize AI opportunities based on business impact and ease of implementation.
  • Maintain a practical pipeline of improvement initiatives, quick wins, and use cases.
  • Build and configure AI assistants, copilots, agents, and prompt-based solutions.
  • Develop prototypes and pilot solutions that can be integrated into real operational workflows.
  • Test solutions with end users, gather feedback, and rapidly iterate.
  • Ensure AI-supported improvements align with existing AML controls, processes, and governance requirements.
  • Measure efficiency gains, document lessons learned, and provide recommendations for future improvements.
  • Deliver reusable solutions and clear supporting documentation that can be leveraged beyond the assignment.
Profile

You bring a strong combination of AML expertise and hands‑on experience with AI-enabled technologies. You are comfortable moving from identifying a business problem to building and testing a practical solution, rather than remaining at a theoretical or advisory level.

  • Professional experience in AML, compliance, or financial crime operations.
  • Strong understanding of KYC, KYT, customer due diligence (CDD), and enhanced due diligence (EDD).
  • Familiarity with PEP and sanctions screening, source of funds/source of wealth investigations, and transaction monitoring.
  • Hands‑on experience using or building GenAI solutions, AI assistants, copilots, or AI agents.
  • Ability to independently create prototypes and working solutions.
  • Pragmatic, curious, and highly delivery-oriented.
  • Comfortable working in an agile, experimental environment and iterating quickly.
  • Strong communication skills, with the ability to explain AI concepts clearly to non-technical stakeholders.
  • Fluent in Dutch and English.
Practical Information

This is a three-month consulting assignment focused on delivering tangible improvements within AML operations. The ideal candidate combines strong financial crime knowledge with the curiosity and technical confidence to turn AI opportunities into practical tools that analysts can use in their everyday work.

Contactperson & Reference
  • Reference #: INW28003
  • Pieter Messely
  • pieter.messely@i4m.be
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