Quantitative Analyst

Harnham
City of London
2 days ago
Applications closed

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Quantitative Analyst/Data Scientist – Investments

London – Hybrid

Up to £100,000 + Bonus


About the Role

We are working with an investment company specialising in the credit and lending space.


They are seeking a Quantitative Analyst/Data Scientist to join their growing Credit & Asset-Backed Finance team. This is an opportunity to be part of a specialist group focused on complex, non-corporate credit opportunities across asset-backed finance, lending, and other structured credit situations.


You’ll play a key role in shaping the quantitative capability behind high-value investment decisions, working across modelling, valuation, data infrastructure, and portfolio analytics.


Key Responsibilities

  • Building and implementing quantitative models to support pricing, valuation, and risk assessment across asset-backed and structured finance investments.
  • Conducting deep-dive analysis into granular loan-level datasets (e.g. consumer, SME, mortgages, receivables) to support investment selection and portfolio monitoring.
  • Developing and enhancing analytical tools and systems used to store, process, and monitor investment-related data.
  • Working closely with investment, risk, and operations teams to optimise deal structures and maintain robust monitoring frameworks.
  • Tracking market movements, regulatory changes, and sector trends to provide insights and recommendations to senior stakeholders.
  • Supporting the full investment cycle, from origination and underwriting through to ongoing performance reviews and committee updates.
  • Collaborating with colleagues across the wider investment platform to share knowledge and drive best practice.


What We’re Looking For

  • Master’s or PhD in Mathematics, Statistics, Physics, Engineering, or another quantitative discipline.
  • At least 3 years’ experience in asset-backed finance, structured credit, quantitative analysis, data science, or credit risk.
  • Strong experience working with granular loan-level datasets across consumer, SME, real estate, or receivables portfolios.
  • Proficiency in Python and a strong command of statistical and financial modelling techniques.
  • A solid understanding of asset-backed finance structures and market dynamics.
  • Excellent problem-solving skills and strong attention to detail.
  • Ability to communicate complex ideas clearly to both technical and non-technical audiences.
  • A proactive, high-ownership mindset suited to a fast-paced investment environment.


If this role looks of interest, apply here.

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