Analyst US High Grade Strategy

As an Analyst US High Grade Strategy within the US Credit Strategy team, you will work end to end on multiple time sensitive deliverables which include day-to-day monitoring of US Credit-relevant sectors/issuers and market developments, staying on top of catalysts, flows, technicals, and fundamentals.
Job Responsibilities
Working end to end on multiple time sensitive deliverables which include day-to-day monitoring of US Credit-relevant sectors/issuers and market developments, staying on top of catalysts, flows, technicals, and fundamentals.
Conducting detailed analyses and deep-dive research of key market trends which include assessing news, macro developments, and industry trends for implications to spreads, ratings, and capital structures.
Build and maintain financial models and key credit/coverage metrics; use outputs to support strategy discussion on risk, valuation, and relative value.
Write concise, client-ready research notes and contribute to broader thematic/sector pieces with timely market commentary.
Present findings clearly (written and verbal) and support market and positioning views and perspectives in internal debates and client-facing conversations under time pressure.
Monitor earnings and translate takeaways into a clear strategy/credit view
Develop, maintain, and enhance quantitative/econometric models and frameworks for forecasting, scenario analysis, and market/policy interpretation relevant to Credit Portfolios.
Manage, clean, and analyze large datasets using tools such as Python (and other research toolkits) to produce charts, tables, and publication-ready outputs.
Perform valuation and relative value analysis across issuers, curves, and structures, with clear conclusions and actionable framing.
Contribute to automation and process improvement, emphasizing data integrity and reproducibility across recurring publications and templates.
Prepare Excel charts, Word documents, and PowerPoint materials for publications, client conferences, and recurring chart books/data visualizations and collaborate with strategists, economists, and global research teams; support investor events/webinars/conferences as needed.
Required qualifications, skills, and capabilities
1-3 years in Research, Banking, or another rigorous analytical role; strong interest in markets.
Strong quantitative/econometric foundation (e.g., multiple regression) and comfort working with macro/market data.
Advanced Excel and financial modeling skills; fluency with AI-enabled tools to accelerate analysis.
Coding skills to manipulate data and perform statistical analysis using tools such as Python (plus Eviews/VBA where relevant).
Strong writing and presentation skills; clear, concise communication under time pressure.
Strong organization, prioritization, attention to detail, and ability to work independently and as part of a deadline-driven team.
Proficiency with Bloomberg and familiarity with common financial market data sources/conventions (e.g., Bloomberg/Haver/CEIC).
Experience with advanced econometric/statistical techniques, machine learning, and/or natural language processing for research workflows.
Strong MS Office skills (Word/PowerPoint) and experience producing publication-quality materials.
Master’s degree or above in Economics, Finance, Mathematics, Engineering, or a related quantitative field from reputed institutions.