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Structured Finance and Mortgages - Data and Modelling Analyst

Miryco Consultants Ltdlondon, united kingdom🇬🇧United KingdomPosted 28 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
london, united kingdom, United Kingdom
Portfolio Management

Job Description

Structured Finance and Modelling - Data & Modelling Analyst


Location: London

Salary: Competitive + Excellent Benefits

Type: Permanent


Miryco Consultants is working with a leading UK insurance and asset management business that is expanding its European Structured Finance and Mortgages team. They are looking for a Data & Modelling Analyst to join a specialist investment team focused on securitised products and granular loan portfolios.


This is an excellent opportunity for a data-driven analyst to work directly within an investment environment, applying their technical and quantitative skills to real-world investment opportunities and portfolio management.


The team reviews complex investment opportunities involving large datasets – including loan portfolios containing 10,000+ individual loans and extensive payment histories – and is looking to add dedicated analytical capability to support the continued growth of the business.


The Role


You will play a key role in the analysis of new investment opportunities, working closely with experienced investment professionals across structured finance and mortgages.


Key responsibilities will include:

  • Cleansing, manipulating and summarising large investment data sets and loan-level data tapes.
  • Analysing loan-level time-series data to produce vintage and time-series analysis of defaults, recoveries, prepayments and other portfolio characteristics.
  • Combining and aggregating data from multiple sources to identify patterns, correlations and trends.
  • Deriving modelling assumptions from underlying portfolio data.
  • Building loan-level cash flow and other time-series models.
  • Developing tools and processes to improve the efficiency of investment analysis.
  • Examining opportunities to automate existing booking processes.
  • Developing management information and portfolio monitoring tools.
  • Clearly communicating analytical methods, findings and conclusions to investment professionals and senior stakeholders.


About You


We're looking for a highly analytical individual with experience working with large datasets and quantitative models. You may come from a financial, scientific, mathematical or other data-heavy environment – a financial services background is advantageous but not essential .

You should have:

  • Strong experience using Excel, VBA, Python, SQL or similar tools to manipulate and analyse large datasets.
  • Experience building cash flow, time-series or other quantitative models.
  • Strong analytical and problem-solving skills.
  • The ability to take complex data and present findings in a clear and concise way.
  • Good attention to detail and a structured approach to problem solving.
  • Basic Word and PowerPoint skills.
  • The ability to work independently and take ownership of your own work.
  • The curiosity to identify knowledge gaps and proactively develop your technical and financial understanding.


Why Apply?


This is a particularly interesting opportunity for someone who enjoys data, modelling and problem solving but wants to apply those skills directly within an investment environment .


You'll work alongside experienced investment professionals and gain exposure to structured finance, mortgages, securitised products and granular loan portfolios. The role offers the opportunity to have a genuine impact on how investment opportunities are analysed and how portfolio management processes are developed and automated.


If you're a technically strong analyst looking to move closer to investment decision-making, we'd be keen to hear from you.


For similar opportunities, follow Miryco Consultants on LinkedIn at .


Please note, should you not be contacted within twenty working days of submitting your application, unfortunately you have not been shortlisted for this position.

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