AML Data Scientist

Job description

Hi purpose-driven AML DATA SCIENTIST!

Would you like to use innovative advanced analytics to solve difficult AML problems in a modern data environment and make the world a safer and better place at the same time?

Have a look at Transaction Monitoring Netherlands (TMNL). We are creating a top-notch detection and monitoring company to make an impact in the fight against financial crime. We are an energetic and inspired team, where the curious, talented minds in anti-money laundering (AML) and financial crime detection, data science, data engineering, advanced analytics and artificial intelligence join forces to make this possible. Together we design, build, accelerate and execute the collective monitoring of transactions from the five largest Dutch banks. This way we are able to detect signals and patterns of financial crimes at an unprecedented level.

At TMNL you will experience the freshness, the freedom, the mandate and the pace of a start-up. We’re based on a healthy growing ground, as we have the full dedication and support of the five largest Dutch banks.

We offer you a very cool technical playground with all the latest technologies you need to create on 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.

A sneak preview of your new playing field

  • Use your scientific background to find solutions together with your colleagues to difficult anti-money laundering problems
  • Deliver advanced analytics products from design to production together with a multi-disciplinary team (AML experts, machine learning engineers, data engineers, etc.) with a high degree of maturity in terms of model monitoring and stability
  • Closely collaborate with AML Experts and public parties to translate the money laundering methods into analytical models using Python, SQL & Spark in AWS Sagemaker
  • Conduct analytics, including data preparation, requirements specification, testing and validation, and documentation
  • Focus on ethics, bias and explainability
  • Develop comprehensive knowledge of TMNL data structures and metrics
  • Interact effectively cross-functionally, making business recommendations with effective presentations of findings at multiple levels of (senior) stakeholders

What this will mean for you

  • An unique opportunity to push the boundaries of a difficult adversarial problem, with a possibility on the longer term to publish in the fields of (hypergraph) network analysis, graph convolutional networks, knowledge representation, (knowledge) graphs, post-hoc explainability, bias, learning with sparse/noisy labels and more
  • 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

Job requirements

Your entry ticket shows

  • 5+ years of working experience, with minimum 2 years in the financial sector
  • Experience in the field of Anti-Money Laundering (AML) / Fraud OR thorough understanding of the banking world
  • Ability to frame a problem, simplify it and explore possible solutions with people with various backgrounds
  • Excellent Python, Spark and SQL skills, code quality is a must
  • 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
  • Minimum a Master’s Degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics or a related quantitative field
  • Ability to translate and present technical information to a non-technical audience

Nice to have

  • Familiarity with AWS tools (Sagemaker, Glue, etc.)
  • Experience with machine learning (especially anomaly detection)
  • Experience with network analytics, including experience with graph analytics tools (igraph, graphframes)
  • A certification with a focus on FEC/KYC/AML
  • Knowledge of agile software development tools and methodologies (DevOps Continuous Integration, GIT, Jenkins, Splunk etc.)

Do you have this ticket and does our proposition excite you so far? Great! Let's share a bit more on what's good to know straight away.

At TMNL, our four key values are very important to us: we are courageous in innovation, curious in collaboration, persistent in responsibility and we take care of each other. Together we build a strong fundament based on ethics, embracement of all backgrounds, personalities and opinions, honesty and vulnerability in our interactions and constant experimentation. This way we will not only achieve the edge and quality in our work we aim for, but also the long-lasting societal change by finding and exposing the smartest bad actors in the financial world.

We’ll go all in to make sure you are not only excited about the purpose of your work but also about the work you do on a daily basis, who you work with and the culture you work in. Joining our team now, also means we invite you to contribute to co-creating the company you always wanted to work for.

As much as we love our work, we also enjoy a healthy work-life balance and an excellent benefit package. As a team, we will contribute all we can to make sure you are as happy, healthy and energetic at work as in life, so we can help each other to become better tomorrow then we are today.

Let’s connect and discover where it will take us. Just click the apply button or contact Martin van Hal (Head of Recruitment) via / +31 644 718 734) for further information. Enjoy the journey!