The work
Build and deploy machine learning models that monitor financial transactions in real time to detect money laundering and fraud. Work on AI-driven monitoring engines within transaction monitoring systems, combining data science, PySpark and financial crime domain knowledge.
The role in full
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Perform designing, implementing and maintaining systems that detect, investigate and mitigate financial crimes primarily be focused on model development and associated data science activities
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Engineers / data science backgrounds with transaction monitoring background
- The role combines transaction monitoring domain expertise with technical skills in Data Science, Machine Learning, PySpark programming.
- Experience in designing and deploying AI/ML products, hands-on and as a manager
- Develop and maintain AI driven monitoring engines that scrutinize financial transactions in real time.
- Identify suspicious pattern, anomalies or deviations indicative or money laundering or fraud.
- Solution design of Machine Learning models on Transaction Monitoring systems.
- Significant experience as a Data Scientist for complex financial services environments.
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Technical skills in AI/ML, PySpark, Data Science and knowledge on banking regulatory compliances and financial crime domain knowledge.
What you will do
- Design, implement and maintain systems that detect, investigate and mitigate financial crime.
- Develop and maintain AI-driven monitoring engines that scrutinise financial transactions in real time.
- Identify suspicious patterns, anomalies or deviations indicative of money laundering or fraud.
- Design solutions applying machine learning models to transaction monitoring systems.
You bring
- Engineering or data science background with transaction monitoring experience.
- Technical skills in AI/ML, PySpark and data science.
- Experience designing and deploying AI/ML products, hands-on and as a manager.
- Significant experience as a data scientist in complex financial services environments.
- Knowledge of banking regulatory compliance and financial crime domain.