Junior Quantitative Analyst, Asset Management

Maintain and improve proprietary quantitative models and research systems that support the HSBC AM House View Deliver quantitative research across long-term capital market assumptions, macro-econometric models and high-frequency tactical market signals Source, validate, clean and interpret large cross-asset datasets to produce usable investment insights Incorporate third-party models and data and build AI workflows that connect tools, models and APIs Present findings clearly to technical and non-technical audiences and partner with the Global Investment Strategy team to inform top-down investment decisions Building the Quant Backbone Demonstrate early-career quantitative research experience through a degree, academic projects, internships or industry experience applied to markets or macro questions. Apply programming skills in Python, R or equivalent to build analysis and research tooling Use Bloomberg and Refinitiv to support market and macro research Show experience working with datasets - including sourcing, cleaning and quality checks - and translating results into clear insights Explain technical outputs clearly to non-technical audiences through concise writing and well-structured presentations Use PowerPoint and Excel to communicate analysis and support research narratives Manage multiple priorities and deliver work to deadlines in a fast-moving research environment