Would you as a driven AML Data Analyst, like to work in a modern data environment with the latest technologies, learn more about data engineering and data science and make the world a safer and better place at the same time?

At TMNL we offer you a very cool technical playground with all the latest technologies you need to create and accelerate our innovative, state-of-the-art transaction monitoring platform. Such a platform is a must-have to create the most effective detection and new insights, that will help banks, public sector and law enforcement to make a positive impact in the fight against financial crime. Your responsibilities:

• Exploratory data analysis alongside AML specialists, to provide insights and support decision-making for the transaction monitoring activities
• Deliver advanced analytics products from design to production together with a multi-disciplinary team (AML experts, machine learning engineers, data engineers, etc.)
• Closely collaborate with AML Experts and public parties to translate the money laundering methods into analytical models using Python, SQL & Spark in AWS Sagemaker
• Compile, analyse and assess data on the performance of the models and report on the findings
• Work alongside technical teams to ensure the data meets required standards
• Build dashboards to monitor deliveries and results

What this will mean for you

• Harness your analytics skills by working with a large data set coming from five different banks while contributing to a multi-disciplinary team
• Expand your functional and business knowledge through close collaboration with AML specialists and data scientists on complex monitoring models
• Gain exposure to the latest AWS technologies in a cloud-first setup

• Deep data analysis with Python (Pyspark, Pandas) and SQL
• Data visualisation using AWS Quicksight, Tableau, PowerBI
• Min 3 years of relevant work experience in the AML transaction monitoring area, gained from within a financial services institution, a financial crime technology vendor or a professional services firm
• A desire to build collectively a purpose-driven company with a relaxed, constructive attitude
• A proven ability to think in solutions complemented by an applied growth mindset
• Experience in conducting requirements gathering sessions and refining and documenting data requirements
  

Nice to have

• Familiarity with AWS tools (Sagemaker, Glue, etc.)
• A Master’s Degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics or a related quantitative field
• Experience in working in an Agile environment
• Relevant track record of working in the area of KYC/AML and thorough understanding of the current market and regulatory conditions and challenges that the financial industry is facing
• A certification with a focus on FEC/KYC/AML