The Company: An established and widely known Wealth Management firmThe Role: This role is a 12 month FTC with a view to go permanentThe Fixed Income Research Analyst will work within the Fixed Income Research team to analyse bonds and fixed income securities, assessing their suitability whilst following the Wealth Managements firm investment ethos. The Fixed Income Research Analyst will conduct bottom-up analysis using published issuer financial statements, credit metrics, and relevant market data, analysing fixed income instruments, including government and corporate, as part of ongoing research and upon request.The Fixed Income Research Analyst will support sector or regional coverage responsibilities as directed and maintain and update security spreadsheets and issuer databases. Clearly articulate why fixed income securities are selected.The Fixed Income Research Analyst will produce high-quality and client-friendly research notes, summarising investment rationale, risks, and rewards and collaborate with colleagues across the Fixed Income and broader Investment teams; contribute to team discussions and shared initiatives.The Fixed Income Research Analyst will engage with the Fixed Income Investment Committee to assist with additions, removals, or renewals on the approved Fixed Income Investment list and work closely with wealth managers and portfolio managers to understand their requirements and provide Fixed Income research support, attending client meetings with team members as needed, helping to explain fixed income positions and market views.The Candidate2 years minimum experience within Fixed Income Research, Credit Research.Working towards or completed IMC and/or CFA An interest in financial markets and some understanding of the key market drivers Self-starter, motivated and confident in their ability to understand the investment processStrong IT skills: particularly MS Excel, Word, PowerPoint and OutlookProficiency with financial data systems will be required, e.g. Bloomberg, Factset and MorningstarFinancial modelling and sensitivity analysis, using software such as MS Excel, is also advantageous