Emerging Markets Debt (EMD) – Quantitative Solutions & Portfolio Construction (Associate)
Executive Summary
This Associate role sits within the Emerging Markets Debt platform, supporting portfolio managers across Local, External, Corporate, and Blended strategies. The mandate is to improve investment-team productivity through disciplined automation and to strengthen portfolio construction and risk analytics. The role combines hands‑on quantitative work with practical tooling, including compliant use and integration of AI/LLM-enabled workflows. Location is London, reporting to the Head of EMD / Senior Portfolio Manager.
Role Summary
Join the EMD investment team as a technically strong Associate focused on building scalable analytics, portfolio construction tools and agents, and automated reporting that improve decision‑making and execution efficiency across the franchise.
Core Responsibilities
- Design and deploy automated workflows for recurring materials, identifying process bottlenecks and implementing durable fixes using modern tooling, including LLM-based assistants in line with firmwide data governance standards.
- Develop and enhance portfolio construction and optimization capabilities, including risk budgeting, factor exposure analysis, and scenario modelling. This includes building and maintaining models, dashboards, and datasets for signals, valuation, and risk monitoring, with scope to support systematic and rules‑based strategy development.
- Provide day‑to‑day investment support to portfolio managers and research analysts, including ad‑hoc analysis, trade idea evaluation, implementation support, and contributions to performance attribution and risk analytics.
Required Qualifications
- 2–4 years of relevant experience in asset management, quantitative finance, or a closely related field.
- Strong programming capability in Python (required).
- Comfort using and integrating AI/LLM-assisted tools.
- Solid communication skills and high operational attention to detail.
- Fixed income knowledge is required, with emerging markets experience preferred.
Preferred Qualifications
- A degree in Economics, Finance, Applied Mathematics, Computer Science, or a related quantitative discipline.
- Advanced degree and/or progress toward the CFA viewed positively.
- Additional advantages include familiarity with portfolio construction and attribution frameworks, data visualization tools (for example Tableau or Power BI), exposure to systematic strategy or indexing/ETF construction, and understanding of order management and trade execution workflows.
Equal Opportunity Statement
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal‑opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
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