Senior Data Scientist, FinCrime
ARQ, London +1
What you will do
- Design, build, and deploy machine learning models that solve real-world financial crime and risk challenges.
- Work on problems such as fraud detection, chargeback prediction, anomaly detection, identity verification, and transaction monitoring.
- Transform ambiguous business problems into measurable ML solutions.
- Partner closely with Product and Operations teams to define requirements, success metrics, and decision frameworks.
- Analyse large datasets to identify patterns, opportunities, and risks.
- Build and maintain production-ready data pipelines and model-serving solutions.
- Monitor model performance and continuously improve accuracy, reliability, and business impact.
- Collaborate with Data Engineering and Backend Engineering teams to operationalise machine learning at scale.
- Help shape the future of AI and machine learning capabilities across ARQ.
What you need
What we're looking for
We're looking for a Senior Data Scientist to help build the intelligence layer behind ARQ's financial products. You'll work on some of our most important risk and financial crime challenges, developing machine learning models that help us detect fraud, prevent losses, and make better decisions at scale.