Associate, RMBS & SRT Strategy (Hybrid London)

Associate, RMBS & SRT Strategy (Hybrid London)

Full-Time 50000 - 60000 £ / year (est.) No working from home possible
Corehr

At a Glance

  • Tasks: Analyse RMBS and SRT transactions using advanced models and large datasets.
  • Company: Corehr, a leading firm in London with a focus on portfolio strategy.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborate with senior stakeholders in a fast-paced environment.
  • Why this job: Join a dynamic team and make an impact in portfolio risk management.
  • Qualifications: Strong skills in Excel/VBA, SQL, and Python required.

The predicted salary is between 50000 - 60000 £ per year.

Corehr in London is seeking an Associate for Portfolio Strategy, Credit & Analytics.

You’ll analyse RMBS and SRT transactions, using large loan-level datasets and advanced models to optimise capital and manage portfolio risk.

You will build analytical tools, perform collateral analysis, and support both transaction execution and governance with senior stakeholders.

Strong Excel/VBA, SQL and Python are essential.

#J-18808-Ljbffr

Associate, RMBS & SRT Strategy (Hybrid London) employer: Corehr

Sheffield Hallam University is an exceptional employer, offering a vibrant and inclusive work culture that fosters innovation and collaboration within the Smart Interactive Technologies Lab. As a Research Fellow, you will have access to cutting-edge research infrastructure and the opportunity to contribute to impactful projects aimed at improving maternal health outcomes, all while benefiting from a supportive environment that prioritises professional growth and development. Join us in making a meaningful difference in healthcare through responsible and human-centred digital innovation.

Corehr

Contact Details:

Corehr Recruitment Team

We think you need these skills to ace Associate, RMBS & SRT Strategy (Hybrid London)

Analytical Skills
Excel
VBA
SQL
Python
Data Analysis
Collateral Analysis