Vacancy Description
Description
SummarySeated within our Quantitative Investment Science group, this position turns machine learning, applied AI, and agentic workflow capabilities into reliable investment workflow software. This is a software engineering role first: you will write production Python, work deeply with data, build model pipelines and evaluation frameworks, and integrate AI-driven capabilities into the tools investment teams use every day. The role is ideal for a practical machine learning engineer who wants to build trusted, auditable systems for high-value quantitative and private markets workflows.
The ideal candidate is someone who has:
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