Our client, a young and dynamic tech company creating an International Financial Services Platform for migrants, is currently looking to hire a FinCrime Data Analyst to join their team! This position is in the Netherlands, however, the client will also consider remote candidates with suitable experience.
You will be responsible for developing state of the art data solutions and use your data analysis skills to support the AML Compliance and Fraud team in detecting money laundering and fraud trends and patterns. Your day to day will be full of interactions with team members of diverse nationalities. You will closely work with Compliance Officers, Compliance Director, Fraud Managers and BI team, reporting to the Compliance Director.
Perform data analysis to improve existing FinCrime scenarios and to detect patterns to define new scenarios or identify trends alongside the specialist, to provide insights and support decision-making
Contribute to complex AML & Fraud investigations
Identify and improve gaps in investigations, monitoring and control measures
Compile, analyse and assess data on the performance of the models and report on the findings
Support testing of AML processes
Work alongside technical teams to ensure the data meets required standards and help to define/improve/enhance the way in which data is gathered and used
Build dashboards to monitor deliveries and results
Look to optimize and automate processes and data
Support reporting to supervisory authorities (FIU and DNB) and partners
Skills & Qualifications:
BA required (preferably Engineering, Maths, Economics/Business)
At least 3 years of experience in a data analyst role, preferably in the financial services/FinTech industry
Ability to analyze complex data sets through different tools and systems including Looker and external transaction monitoring tools
High personal responsibility and accuracy
Ability to work independently and under pressure, handling multiple tasks simultaneously
Flexibility, ability to react to changing needs of a fast-growing company
Understand business expectations while having a clear view of what is possible using data analytics and needed IT capabilities for monitoring
Next steps: Apply with your CV and we will contact you soon!