AI Scientist

Michael Page

Bridge AI platforms with quant strategy in a high-impact market domain. Deep AI engineering expertise with quant domain fluency required. About Our Client A financial technology and strategy firm operating at the intersection of AI, quantitative research, and market innovation Job Description Design and build AI platforms tailored for quant research and strategy development. Translate quant requirements into scalable, modular AI workflows. Collaborate with quant researchers to integrate ML model Bridge AI platforms with quant strategy in a high-impact market domain. Deep AI engineering expertise with quant domain fluency required. About Our Client A financial technology and strategy firm operating at the intersection of AI, quantitative research, and market innovation Job Description Design and build AI platforms tailored for quant research and strategy development. Translate quant requirements into scalable, modular AI workflows. Collaborate with quant researchers to integrate ML models into trading pipelines. Develop infrastructure for data ingestion, feature engineering, and model deployment. Ensure platform performance, reliability, and compliance with financial standards. Lead experimentation with new AI tools and frameworks relevant to quant domains. Act as a technical liaison between engineering, quant, and strategy team. The Successful Applicant Strong background in AI/ML engineering with exposure to financial markets. Fluency in quant concepts, terminology, and strategy workflows. Experience building AI platforms or ML infrastructure in production environments. Proficiency in Python, cloud platforms, and containerized environments. Ability to collaborate with quant teams and translate their needs into technical solutions. Familiarity with time-series modeling, backtesting frameworks, and data pipeline What's on Offer Work at the forefront of AI innovation in quantitative finance. Collaborate with elite quant and strategy teams across global markets. Contact Manpreet Kaur Quote job ref JN-082025-6815120