- The CEP AML IT team is in charge of AML Monitoring tools for CIB and all regions. AML Monitoring tools are mainly used by Financial Security Compliance and CIB ITO LoD1.
- The evolution of AML tools by integrating new technologies/approaches for improving detection of suspicious activities and optimizing investigations is key to effective monitoring.
- In this context, we are looking for an Financial crimes Research and Development Manager (AML) for the Cash Management/Global Market/Correspondent Banking business lines whose role will be to oversee and develop strategies, tools and technologies aimed at:
- detecting, preventing and combating money laundering.
- Industrialise the Fine Tuning process
- The professional must have AI/ Model skills with background in financial industry, preferably in Transaction monitoring and AML. Individual contributor who is hands-on and also can manage the project.
Responsibilities
Direct Responsibilities
- Supervise the research and development team in the design and continuous improvement of AML tools in Financial crimes.
- Participate in the development of strategies and models for proactive identification of money laundering risks.
- Analyze trends and data to develop more effective detection methods (reduction of false positives).
- Design, develop and test algorithms and predictive analysis models for proactive detection of suspicious activities, primarily for Global Markets.
- Design and develop a framework for continuous tuning of models based on Machine Learning/Artificial Intelligence technology to detect edits of detection tools and improve the effectiveness of the tuning process
- Lead the evaluation and implementation of new technologies to automate AML alert investigation processes.
- Evaluate and propose the integration of new technologies and innovative solutions to improve existing processes.
- Be a driving force for changing the skills of the entire AML IT team on AI topics
- Document development stages, test results and ensure clear communication with stakeholders.
- Work with compliance teams to ensure compliance with anti-money laundering regulations and standards.
Technical Behavioral Competencies
- Extensive experience in financial crimes and combating money laundering.
- Thorough knowledge of anti-money laundering methods and regulations (e.g. : FATF, EU Directives).
- Strong team management skills and ability to lead research and development projects.
- Excellent communication and collaborative skills.
- Expertise in data analysis and use of technological tools for AML detection.
- Practical experience in software development, data analysis and statistical modelling.
Business Skills
o Cash management payments: Swift, SEPA, local payments. (Proficient)
o Global Market (Proficient)
o IT / Business relation (Expert)
o Compliance Financial Security (Proficient)
o IT Skills : database
Transversal Skills
o Ability to manage a project (Expert)
o Analytical ability (expert)
o Ability to understand, explain and support change (Expert)
Behaviors Skills
o Ability to Deliver/Results driven(Expert)
o Ability to collaborate (Expert)
o Adaptability (Expert)
o Personal Impact/Ability to influence (Proficient)
o Resilience (Proficient)
Skills Referential
Behavioural Skills : (Please select up to 4 skills)
- Ability to deliver / Results driven
- Adaptability
- Personal Impact / Ability to influence
- Resilience
Transversal Skills:
- Ability to manage a project
- Analytical Ability
- Ability to understand, explain and support change
- Ability to set up relevant performance indicators
- Choose an item.
Education Level:
- Bachelor Degree or equivalent
Other/Specific Qualifications (if required)
- Good knowledge of CIB
- Strong knowledge on AI preferably in context of AML Model Development / Optimization / Tuning / Investigation
