Responsibilities Develop quantitative credit models, including spread and default risk frameworks. Source, test and integrate new alpha signals across credit markets into research pipelines. Monitor model-generated trade ideas and disseminate outputs to investment teams. Produce rigorous standalone research with clear reports and presentations. Contribute thematic quantitative research and thought leadership across credit. Build and maintain the research platform and shared analytical codebase. Improve communication and visualisation of model outputs for portfolio teams. Uphold code quality, version control and systematic testing standards. Translate quantitative insights for Portfolio Managers, Credit Analysts, Traders and Investment Directors. Engage in cross-asset forums and collaborate across regions and disciplines. Support the internal and external profile of the quantitative research function. Discuss model methodology and research outputs with clients when required. Requirements BSc/MSc in a quantitative discipline; strong statistics, econometrics and numerical methods. Proven track record building quantitative models in an investment or credit context. Strong Python (pandas, NumPy); SQL and Git advantageous. Advanced Excel; familiarity with Bloomberg or similar data platforms. Experience handling large, complex financial datasets. CFA or similar qualification a plus. Clear written and verbal communication of technical concepts. Collaborative and adaptable, comfortable working across functions and asset classes.