* 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