At a Glance
- Tasks: Build and maintain quantitative models for pricing and risk analysis in finance.
- Company: Global investment firm based in Greater London with a focus on innovation.
- Benefits: Competitive salary, exposure to investment decisions, and dynamic work environment.
- Other info: Great opportunity for career growth and integration of modelling with engineering.
- Why this job: Join a cutting-edge team and make an impact in asset-backed finance.
- Qualifications: Experience in structured credit or asset-backed finance and strong Python skills.
The predicted salary is between 43200 - 72000 £ per year.
A global investment firm in Greater London is seeking a Quant Developer to enhance its Asset-Backed Finance (ABF) team. The role involves building and maintaining quantitative models for deal diligence, pricing, and risk analysis.
Ideal candidates will have experience in structured credit or asset-backed finance and strong programming skills in Python. This position offers significant exposure to investment decisions and the opportunity to integrate modelling with engineering in a dynamic environment.
Quant Developer - Asset-Backed Finance Modeling employer: Kieran Knight Consulting
Contact Detail:
Kieran Knight Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quant Developer - Asset-Backed Finance Modeling
✨Tip Number 1
Network like a pro! Reach out to professionals in the asset-backed finance space on LinkedIn. A friendly message can go a long way in getting your foot in the door.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or models you've built in Python, make sure to highlight them during interviews. It’s all about demonstrating your expertise.
✨Tip Number 3
Prepare for technical questions! Brush up on your quantitative modelling and risk analysis knowledge. We want to see you shine when it comes to discussing your thought process.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Quant Developer - Asset-Backed Finance Modeling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in structured credit or asset-backed finance. We want to see how your skills align with the role, so don’t be shy about showcasing your programming prowess in Python!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative modelling and how you can contribute to our ABF team. Keep it engaging and relevant to the job description.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We love seeing practical applications of your skills, especially in deal diligence and risk analysis.
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 this exciting opportunity in our dynamic environment!
How to prepare for a job interview at Kieran Knight Consulting
✨Know Your Quant Models
Make sure you brush up on your knowledge of quantitative models, especially those related to asset-backed finance. Be prepared to discuss specific models you've worked on and how they apply to deal diligence, pricing, and risk analysis.
✨Show Off Your Python Skills
Since strong programming skills in Python are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges that relate to financial modelling or data analysis.
✨Understand the Investment Landscape
Familiarise yourself with current trends in structured credit and asset-backed finance. Being able to discuss recent developments or case studies will show your genuine interest and understanding of the field.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the team dynamics, the types of projects you'll be working on, and how the role integrates modelling with engineering. This shows you're not just interested in the job, but also in how you can contribute to their success.