ML engineer/Architect

VBeyond Corporation; City Of London; Vor Ort; GBP 90.000 - 150.000; Vollzeit

Zusammenfassung

VBeyond Corporation in London is seeking an ML Engineer/Architect to design, implement and maintain systems that detect and mitigate financial crime, with a focus on model development and data science. You will combine transaction monitoring domain expertise with hands-on technical skills in AI/ML, PySpark and real-time processing to build scalable monitoring engines for financial transactions.

Experience in delivering AI/ML products in financial services and knowledge of banking regulations is

Qualifikationen

• Background in ML, data science and transaction monitoring.
• Experience deploying AI/ML products in financial services.
• Knowledge of banking regulatory requirements and financial crime domain is preferred.

Aufgaben

• Design, implement and maintain AI-driven monitoring engines.
• Identify suspicious patterns and anomalies in real-time.
• Develop models for transaction monitoring systems.
• Collaborate with data science and engineering teams.

Kenntnisse

Machine Learning

PySpark

Data Science

Real-time Monitoring

Financial Crime

Leadership

Tools

Python

Spark

Jobbeschreibung

find below JD for ML engineer/Architect:

• Perform designing, implementing and maintaining systems that detect, investigate and mitigate financial crimes primarily be focused on model development and associated data science activities
• 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.
• Technical skills in AI/ML, PySpark, Data Science and knowledge on banking regulatory compliances and financial crime domain knowledge.