b Overview /b p In this role you will support multi-asset investment decisions by developing and applying quantitative models across asset classes. You will work with the Portfolio Management Asset Allocation team to translate research into actionable recommendations, monitor risk and attribution, and communicate findings to investment committees. The role offers broad exposure to global markets and the chance to build practical, scalable analytics that inform allocation decisions. You will contribute to the ongoing improvement of models and infrastructure in a collaborative setting. /p b Responsibilities /b ul li Analyse global equities, fixed income, credit, commodities, currencies and alternatives /li li Contribute to strategic, dynamic and tactical asset allocation research /li li Assess valuations and macro conditions across market regimes /li li Translate quantitative signals into investment recommendations /li li Portfolio construction, scenario, factor and risk analysis /li li Maintain performance attribution for multi-asset model portfolios /li li Develop, test and refine proprietary investment models /li li Produce clear investment commentary, charts and analysis /li li Maintain quantitative models and dashboards using Python and Excel; ensure data quality and automate research processes /li /ul b Key requirements /b ul li 1 to 3 years quantitative analysis experience in multi-asset investment environment /li li Degree in a relevant discipline /li li Experience in quantitative modelling within financial markets or investments /li li Strong Python programming skills /li li Strong Excel skills /li li Good understanding of global financial markets and multi-asset drivers /li li Understanding of portfolio construction, asset allocation, investment risk and performance attribution /li li Strong analytical and problem-solving skills with attention to detail /li li Ability to interpret quantitative outputs in an investment context /li li Strong written and verbal communication skills /li li Knowledge of the UK wealth management market /li /ul ul li curiosity about markets /li li problem-solving mindset /li li clear written and verbal communication /li li Python /li li Excel /li li experience with financial databases (Bloomberg, FactSet) /li /ul
Quantitative Analyst employer: Charles Stanley
Raymond James Wealth Management is an exceptional employer that fosters a collaborative and supportive work culture, particularly within the Intermediary Partnerships Support team. Employees benefit from comprehensive training and development opportunities, ensuring personal and professional growth while contributing to meaningful client outcomes. Located in a dynamic financial services environment, the company prioritises employee well-being and offers a range of resources to enhance job satisfaction and performance.