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Cash Flow Modelling & Valuation Analyst - IPOE Consulting

eFinancialCareers

Cash Flow Modelling & Valuation Analyst – Structured Credit

Salary TBC

London based

Hybrid working

Main responsibilities will include;

  1. Deliver robust cash flow modelling, valuation, and credit analysis across structured finance and private credit transactions.
  2. Support risk management and client reporting through accurate and transparent analytical outputs.
  3. Develop, maintain, and enhance fit-for-purpose financial models and valuation methodologies.
  4. Ensure consistent, timely, and regulatory-compliant delivery of valuation and analytical products to clients.
  5. Translate transaction structures and legal documentation accurately into financial models for structured finance and private credit asset classes.
  6. Build, maintain, and validate cash flow, valuation, and rating models across structured finance and private credit asset classes.
  7. Perform expected loss analysis, sensitivity analysis, stress testing, portfolio monitoring, and model validation.
  8. Deliver high-quality valuation, credit, and rating outputs in line with agreed methodologies, timelines, and regulatory standards.
  9. Drive continuous improvement of internal models, methodologies, and automation tools, working closely with internal stakeholders and clients.

To be considered for this position, ideal candidates must have the following experience & skills;

  1. Qualifications CFA, AFM/CFM, FMVA or equivalent preferred
  2. German language skills very beneficial.
  3. Solid understanding of European credit markets, transaction structures, and key credit and valuation risk drivers across alternative asset classes.
  4. Proven hands-on experience in financial modelling and credit risk analysis, including interpretation of legal and transaction documentation.
  5. Good knowledge of rating agency methodologies and structured finance analytical approaches.
  6. High proficiency in Excel and financial modelling tools.
  7. Interest in automation, data analytics, and applied quantitative methods; programming skills (SQL, VBA, Python) advantageous.
  8. Strong written and verbal communication skills, with the ability to present complex analysis clearly to technical and non-technical stakeholders.
  9. High attention to detail, strong organisational skills, and the ability to balance multiple priorities collaboratively.
  10. A proactive mindset with a strong sense of initiative and entrepreneurship.