At a Glance
- Tasks: Support execution and research in structured finance, working on diverse asset classes.
- Company: Dynamic structured finance advisory firm expanding its innovative team in London.
- Benefits: Gain valuable experience, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunity to work with ML/AI applications and develop analytical tools.
- Why this job: Join a cutting-edge team and make an impact in the world of finance.
- Qualifications: 1-3 years experience, STEM master's or PhD, strong Python skills, and data science background.
The predicted salary is between 45000 - 55000 £ per year.
A structured finance advisory firm continues to expand their team in London. This is a new position, supporting with execution and research. You'll gain experience working on a range of asset classes within structured finance/asset-backed financing.
Key Responsibilities
- Execute Structured Finance Deals: Assist in the execution of buy-side and sell-side advisory, and transaction services.
- Develop Analytical Tools: Collaborate on the creation and maintenance of risk management and analytical tools for asset portfolios and macro variables.
- Conduct Research and Analysis: Independently research and present findings on topics like property valuation, model optimization, and ML/AI applications, and conduct ad-hoc data analysis.
Key requirements
- 1-3 years experience
- STEM master's or PhD
- Strong experience with Python (Pandas is a must)
- A background in data science, with exposure to consumer loans or mortgages
- Full UK working rights
Data Scientist employer: RCQ Associates - Financial Markets Specialists
Join a dynamic structured finance advisory firm in London, where innovation meets collaboration. We offer a vibrant work culture that fosters professional growth through hands-on experience with diverse asset classes and cutting-edge analytical tools. Our commitment to employee development ensures you will thrive in your career while contributing to impactful financial solutions.
Contact Details:
RCQ Associates - Financial Markets Specialists Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to professionals in the structured finance space on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your analytical tools and projects you've worked on, especially those involving Python and data science. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of asset-backed financing and structured finance. Be ready to discuss how your experience aligns with the role and share insights from your research and analysis.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python and any relevant projects you've worked on, especially those related to structured finance or asset-backed financing.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your skills align with the responsibilities of the role. Don't forget to mention your experience with analytical tools and research.
Showcase Your Projects:If you've worked on any projects involving property valuation, model optimisation, or ML/AI applications, make sure to include them in your application. We love seeing practical examples of your 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 don’t miss out on any important updates from our team.
How to prepare for a job interview at RCQ Associates - Financial Markets Specialists
✨Know Your Data Science Stuff
Make sure you brush up on your Python skills, especially with Pandas. Be ready to discuss your previous projects and how you've used data science in real-world scenarios, particularly in structured finance or asset-backed financing.
✨Research the Company
Dive deep into the firm’s background and their recent projects. Understanding their approach to structured finance will help you tailor your answers and show that you're genuinely interested in the role.
✨Prepare for Technical Questions
Expect questions that test your analytical skills and problem-solving abilities. Practice explaining complex concepts clearly, as you might need to present your findings on property valuation or model optimisation during the interview.
✨Showcase Your Collaboration Skills
Since the role involves working with others to develop analytical tools, be prepared to discuss your teamwork experiences. Share examples of how you've successfully collaborated on projects, especially in a research or advisory context.
