Quantitative Engineer
Role details
Job location
Tech stack
Requirements
Degree in a computer science, data science or equivalent in a technical field with demonstrable financial computing relevance
Ideally 5+ years of experience in a related role
Track record of leading projects and/or teams with a good command on architecture, cost, and scalability
Expert coding experience - history of hands-on development on python and/or java, big data engineering experience is a plus
Analytics experience is a plus - agentic ML, recommendation models, client analytics, statistics, classical ML, and interest in latest AI research
Experience in a Markets business, for example Equities or Credit trading or distribution is a plus
Cloud experience - we are on Azure managing an estate that is built on: kubernetes, azure-data-lake, airflow, spark, kafka, protobuf
Ability to identify and address key issues effectively and communicate the rationale behind proposed solutions to stakeholders.
Balance of analytical rigor and practical application