Prevent and detect Financial Economic Crime in one modular system.Supporting the end-to-end process and ensuring compliance and maximum effectiveness, Fectfinder is the first system of its kind. The system modular enables optimal collaboration between risk management, investigators and AI.Financial economic crime (FEC) causes billions of losses each year and fraudulent strategies are constantly changing. To prevent and detect FEC you need extreme adaptability while complying with regulatory requirements.Fectfinder provides just that. Developed with the best-in-class “know your customer (KYC) processes” and state-of-the-art AI in mind, it is the first modular system of its kind that benefits every business, big or small.

Helps organizations become more data-driven and get maximum return from their data. Nextgem consists of enthusiastic and experienced data engineers, business intelligence and advanced analytics specialists.As a big data partner we ensure boards, sales, marketing, finance, HR and IT departments improve their decision making by using data and AI. We like to think together with our customers about real business problems and identify and implement practical solutions to help organizations achieve their goals.SpecialismData science,Machine learning, Marketing intelligence, Business analytics, Big data

Developing the new Analytics function in Global KYC Transaction Monitoring which is responsible for optimizing TM systems and developing advanced analytics solutions to detect financial economic crime. Leading a team of 14 data scientists.-Recruiting internal data scientists in both Amsterdam and Poland-Ensuring team has appropriatie coding skills and knowledge-Implement agile scrum way of working including supporting tooling-Develop Spark big data solutions in private cloud environment-Setting up GIT workflow-Coaching junior data scientists-Explore and experiment with technologies such as text mining and network analysis

Responsible for integrating data from recently purchased companies into the existing data platform of Vesting Finance. Design and create MI. Standardize data processes and reports. Sparring partner for the business to help them define relevant Kpi’s and use cases

Working in the development team of the Business Intelligence department and responsible for (data) source analysis and designing data models (both Kimball and data vault).

Within the RA&DQ department I'm responsible for determining the scope and design of controls concerning revenue streams and ensuring that the implemention of these controls are best in class methodology.Reponsible for developing and implementing data migration controls for both CRM and network.

Responsible for the design and implementation of an end-to-end call datarecord monitoring control (from switch to bill to general ledger) partly based on semi structured log files from the network and mediationSimulating the Mediation algorithm to determine accuracy and completeness by transforming hexadecimal records (AMA and ANS1) into ASCII format and applying filter and rejection rules and compare expected output to Billing with the actual outputSimulating the rating mechanisms of both B2B and consumer Billing applications to determine accuracy of the rated call datarecords by recalculating the rates based on Ziggo website and compare with actual ratesDesign and implement a mobile call record cost control by comparing Ziggo mobile core call records (Voice, SMS and Data) with the radio network call records from VodafoneParticipate in the Mediation replacing project as an adviser and create and execute a shadow control comparing both call datarecord outputs. This resulted in detecting a design error in the new Mediation system prior to go live and preventing 4 million annual revenue lossMonthly discussing the revenue assurance control outcomes with the stakeholders.Maintain the production and acceptance file servers.Automate the revenue controls on the production server.