Corporate Credit Analyst

Company:  Macdonald & Company
Location: London
Closing Date: 17/10/2024
Hours: Full Time
Type: Permanent
Job Requirements / Description
Our client is a leading asset management and investment advisory firm who require a Corporate Credit Senior Analyst or Associate to manage a book of loans predominantly backed by Non-performing Loan portfolios originated by a major global investment bank. Key Responsibilities and Experience The corporate credit asset manager should have an analytical mind-set, good knowledge of corporate credit (analysis of financials, credit metrics) and have strong client management and communication skills. The role involves close contact with a client, the role would suit candidates who can work independently and are motivated to learn in a fast-paced environment. Candidates would ideally have between at least 4-6 years’ experience in corporate loan asset management, portfolio management, credit risk and/or corporate lending. Collateral Checks prior to PE manager drawdowns, credit analysis and monitoring portfolio companies’ performance. Use of VBA to automate monthly/quarterly portfolio reporting. Experience analysing bank leverage against corporate credit. The underlying loan sectors are very diverse; The candidate will be managing a portfolio of loans that are backed by middle market corporate loans. Understand of “loan-on-loan” or “warehouse” facility Undertake analysis on the problematic underlying loans (corporate loans to lots of different companies in all the key industries) The borrowers are the major mid-market lenders, but the underlying borrowers are actual corporates. This is a client/counterparty facing role with a major investment bank, so candidates require an excellent level of written and spoken English, as well as advanced competence with PowerPoint, Excel and Word. An intermediate to advanced level of quantitative skills would be preferred. Need to be able to work autonomously. Ability to roll up their sleeves and cover full risk management spectrum: Experience dealing with large data sets and systems. Ability to think analytically and present solutions in a clear way. Understanding key credit risks facing the business Candidates would be expected to conduct analysis, both qualitative and quantitative

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