Machine Learning Scientist - Regulatory Reporting Technology - Adyen

Ayden

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Work type
On-site
Location
NetherlandsAmsterdam, Netherlands
Posted
1 day ago

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Similar $225k
$160k most similar roles pay here $277k

This listing doesn't post a salary. Most similar roles pay $197,925–$251,750.

Based on 240 similar postings.

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About Ayden

Adyen is a global payments platform that provides end-to-end payment processing, merchant acquiring, and issuing solutions to large global companies, enabling them to accept payments anywhere in the world. Industry: Payments Technology & Financial Services

Ayden currently has 107 open roles on FindRole.

Listed pay typically runs $180,000–$243,000 across 42 roles with salary data.

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TL;DR · Machine Learning Scientist - Regulatory Reporting Technology - Adyen

Join Adyen’s Regulatory Financial Modelling & Analytics team as a Machine Learning Scientist, where you will design and scale production-ready ML models to support regulatory reporting and risk evaluation. You’ll work within our Big Data ecosystem (Spark/Hadoop) to develop automated root-cause analysis logic that translates complex statistical signals into actionable recommendations. This role involves close collaboration with users to gather feedback and ensure technical solutions address real-world business challenges, requiring proficiency in Python, PySpark, Airflow, Hadoop, Kafka, and a preference for SparkStreaming/Flink, Docker, and Kubernetes. With 4+ years of experience in anomaly detection, time-series analysis, or signal processing, you will bring expertise in causal inference to prove why events occur, not just that they do, while prioritizing business impact over model complexity.

What you'll do

  • Design and scale production-ready ML models for regulatory reporting.
  • Develop automated root-cause analysis to translate statistical signals into actionable recommendations.
  • Build internal infrastructure using Big Data ecosystem tools like Spark and Hadoop.
  • Ensure continuous feedback from users to refine technical solutions for real-world issues.
  • Implement pragmatic problem-solving approaches, prioritizing business impact over model complexity.
  • Lead projects from ideation through deployment, working with diverse stakeholders.

What we're looking for

  • At least 4 years of experience as a Machine Learning Engineer or Data Scientist.
  • Proficient in Python and Big Data frameworks like PySpark, Airflow, Hadoop, Kafka.
  • Experience with SparkStreaming/Flink, Docker, and Kubernetes is preferred.
  • Strong interest in Causal Inference to explain why events occur.
  • Proven ability to lead projects from ideation to deployment.
  • Skilled in pragmatic problem-solving with a focus on business impact and reliability.
  • Capable of effectively communicating complex outcomes to diverse audiences.

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