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- Tasks: Build and implement quantitative models for investment decisions in asset-backed finance.
- Company: Leading investment firm specialising in credit and lending.
- Benefits: Competitive salary up to £100,000 plus bonus, hybrid work model.
- Why this job: Shape high-value investment strategies and make a real impact in finance.
- Qualifications: Master's or PhD in a quantitative field with 3+ years of relevant experience.
- Other info: Collaborative environment with opportunities for professional growth.
The predicted salary is between 60000 - 84000 £ per year.
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 will 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.
Quantitative Analyst - Harnham in London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Analyst - Harnham in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the investment and finance sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there. We can’t stress enough how important connections are in landing that dream job!
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Since you’ll be dealing with complex quantitative models, practice explaining your thought process clearly. We recommend doing mock interviews with friends or using online platforms to simulate the real deal.
✨Tip Number 3
Showcase your projects! If you’ve worked on any relevant quantitative analysis or data science projects, make sure to highlight them during interviews. We love seeing practical applications of your skills, so bring along examples that demonstrate your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we often have exclusive roles listed that you won’t find anywhere else. So, get clicking and let’s land that job together!
We think you need these skills to ace Quantitative Analyst - Harnham in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Quantitative Analyst role. Highlight your experience with asset-backed finance and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills: Don’t just list your qualifications; show us how you’ve used them! Include specific examples of how you've built models or conducted analyses that relate to the job description. This will help us see your practical experience.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a great fit. We love seeing enthusiasm and a clear connection to our work.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Jobster
✨Know Your Numbers
As a Quantitative Analyst, you'll be expected to handle complex data sets. Brush up on your statistical and financial modelling techniques before the interview. Be ready to discuss specific examples of how you've used Python to analyse data or build models in your previous roles.
✨Understand the Market
Familiarise yourself with current trends in asset-backed finance and structured credit. Being able to discuss recent market movements or regulatory changes will show that you're not just technically skilled but also aware of the broader context in which the company operates.
✨Communicate Clearly
You’ll need to explain complex ideas to both technical and non-technical audiences. Practice articulating your past projects and findings in a straightforward manner. This will demonstrate your ability to collaborate effectively with investment, risk, and operations teams.
✨Show Your Proactive Mindset
The role requires a high-ownership mindset. Prepare examples that showcase your initiative and problem-solving skills. Think about times when you took the lead on a project or identified an opportunity for improvement in your previous work.
