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- Tasks: Design and implement quantitative models for asset valuation and investment strategies.
- Company: Dynamic finance firm in London with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a team where your insights shape investment strategies and drive real results.
- Qualifications: Strong Python skills and experience in private or public markets.
- Other info: Exciting environment with potential for career advancement.
The predicted salary is between 48000 - 72000 £ per year.
Responsibilities:
- Designing, implementing, and maintaining quantitative models and tools for asset valuation, data processing, and performance attribution.
- Collaborating with investment teams to inform portfolio construction and allocation strategies.
- Developing and productionizing algorithms for investment strategies, with experience in back‑testing and stress‑testing.
- Leveraging strong Python skills to manage proprietary datasets and market data capture.
- Effectively communicating quantitative insights to non‑technical stakeholders.
Preferred background:
- Prior experience in private markets; public markets experience will also be considered.
Seniority level: Mid-Senior level
Employment type: Full‑time
Job function: Finance
Industries: Staffing and Recruiting
Location: London, England, United Kingdom
Quantitative Developer employer: Cooper Fitch
Contact Detail:
Cooper Fitch Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Developer
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work with quantitative models. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to asset valuation or algorithm development. This will give you an edge when discussing your experience with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex quantitative concepts in simple terms, as you'll need to convey insights to non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Quantitative Developer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with quantitative models and Python skills. We want to see how your background aligns with the responsibilities listed in the job description, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about quantitative development and how your previous experiences have prepared you for this role. We love seeing enthusiasm and a clear connection to our mission.
Showcase Your Collaboration Skills: Since collaboration with investment teams is key, include examples of how you've worked with others in the past. We want to know how you communicate complex ideas to non-technical stakeholders, so share those experiences!
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 shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Cooper Fitch
✨Know Your Quant Models
Make sure you brush up on the quantitative models you've worked with. Be ready to discuss how you've designed, implemented, and maintained these models in your previous roles. This will show your depth of knowledge and experience in asset valuation and performance attribution.
✨Showcase Your Python Skills
Since strong Python skills are crucial for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or discuss past projects where you used Python for data processing or algorithm development. Practice coding challenges related to finance to get comfortable.
✨Communicate Clearly
You’ll need to explain complex quantitative insights to non-technical stakeholders. Prepare examples of how you've successfully communicated technical concepts in the past. Practising explaining your work to someone without a technical background can help you refine your approach.
✨Understand the Market Landscape
Familiarise yourself with current trends in both private and public markets. Being able to discuss recent developments and how they impact portfolio construction will impress your interviewers. It shows that you're not just a tech whiz but also have a solid grasp of the financial landscape.