At a Glance
- Tasks: Support execution and research in structured finance, working on diverse asset classes.
- Company: Expanding structured finance advisory firm based in London.
- Benefits: Gain valuable experience and develop analytical skills in a dynamic environment.
- Other info: Opportunity to work on innovative projects and enhance your career in finance.
- Why this job: Join a team where your research and analysis can drive real financial impact.
- Qualifications: 1-3 years experience in data science with strong Python skills required.
The predicted salary is between 50000 - 70000 £ 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 pride ourselves on fostering a supportive work culture that encourages professional growth and development, offering employees the chance to work on diverse asset classes while utilising cutting-edge analytical tools. With a commitment to employee well-being and a focus on meaningful projects, we provide a unique opportunity for data scientists to thrive in a vibrant city known for its financial prowess.
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. This is your chance to demonstrate your Python prowess and data science expertise in a tangible way.
✨Tip Number 3
Prepare for interviews by brushing up on your research skills. Be ready to discuss recent trends in structured finance and how ML/AI can be applied. We want to see your passion and knowledge shine through!
✨Tip Number 4
Don't forget to 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 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 involving structured finance or asset-backed financing.
Showcase Your Skills:In your cover letter, don’t just list your skills—show us how you’ve used them! Give examples of how you've developed analytical tools or conducted research that aligns with the responsibilities mentioned in the job description.
Be Clear and Concise:Keep your application clear and to the point. We appreciate well-structured applications that are easy to read. Use bullet points where necessary to make your achievements stand out!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role without any hiccups!
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 techniques 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 and the company.
✨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 topics like 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 experience in teamwork. Share examples of how you've collaborated on projects and contributed to a team environment, especially in a data-driven context.
