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Data Business Analyst in Global KYC TM Data Controls Management DCM Team



Details van de functie

We are looking for you if:

  • You have minimum of 3 years of working experience as a Business Analys and 2 years of working experience with Anti-Money Laundering (AML)and you are familiar with requirements arising from EU KYC / AML Regulations, e.g. 4th and 5th EU AMLD
  • You have experience with designing operations MI/dashboards that provides clear detailed insights to Operations Teams, as well as condensed views for use by senior management.
  • You have experience on working closely with areas developing and/or running Data Quality scripts.
  • You have experience in managing reporting on the Data Quality by using an Exclusion Process.
  • You are familiar with Data Quality requirements, specifically from the business and functional level.
  • You will have proven experience of work on the design of the automated and detective monitoring, applied through Continuous Data Controls; or, working on scenarios where data sets / points are analysed for its completeness and correctness across their full end-to-end lineage.
  • You have experience in change projects/initiatives related to Post Transaction Monitoring.
  • You have working experience with concepts of the inherent and residual risk, Risk Based Approach, and risk appetite.  
  • You have experience in the area(s) of multidisciplinary complex deliveries with a track record of fast learning in the area of KYC Compliance,
  • You are fluent in English
  • You can establish plans to determine tasks, priorities, and timelines and identifying the resources needed to achieve goals.
  • You show openness to change and altering behaviors in order to work effectively when faced with new information, a changing situation and/or environment
  • You have an ability to identify problems, analysing key information and making connections, in order to find appropriate solutions

You'll get extra points for:

  • Master's or Bachelor's degree,
  • Experience and affinity with working together in IT and solution-build driven teams,
  • Strong focus on understanding the regulatory and business requirements and supportive facts and data to build the target operating model design in line with INGs ambitions,
  • Knowledge of domestic and international payment flows like SWIFT and SEPA
  • Familiarity with the International Trade Finance (ITF) domain/framework

Your responsibilities:

  • Facilitate Data Quality Exclusion Process, including country and local stakeholder management.
  • Perform and report on existing automated & continuous data checks and controls & residual risk assessment
  • Contribute data framework improvements by sharing lessons learned (and solutions) produced through findings of data completeness and correctness, preventive and detective controls, disseminating knowledge with stakeholders that leverage same data points.

Information about the squad:

As part of ING's Global KYC organisation, the TM Optimisation and Data services, you will be join Data Controls Management (DCM) team.

The TM Optimisation and Data services have central teams in The Netherlands, as well as Hub teams in Poland, Romania, Slovakia and The Philippines. Our teams cover Optmisation, Data Area, and Data Controls Managment.

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Solliciteer

Bij ING willen we het beste uit mensen halen. Daarom hebben we een inclusieve cultuur waarin iedereen de kans krijgt om te groeien en een verschil te maken voor onze klanten en de samenleving. Diversiteit, gelijkheid en inclusie staan bij ons altijd voorop. We behandelen iedereen eerlijk, ongeacht leeftijd, geslacht, genderidentiteit, culturele achtergrond, ervaring, geloof, ras, etniciteit, beperking, gezinssituatie, seksuele geaardheid, sociale afkomst of wat dan ook. Heb je hulp nodig of kunnen we iets voor je doen tijdens je sollicitatie of gesprek? Neem dan contact op met de recruiter die bij de vacature vermeld staat. We werken graag samen met jou om het proces eerlijk en toegankelijk te maken. Lees hier meer over hoe wij staan voor diversiteit, inclusie en erbij horen.

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