At a Glance
- Tasks: Create and amend financial models, support investment transactions, and lead AI initiatives.
- Company: Join a progressive real estate firm with 20 years of success and a commitment to sustainability.
- Benefits: Enjoy a collaborative culture, opportunities for career growth, and a focus on social impact.
- Why this job: Be part of a team re-imagining real estate to tackle social and environmental challenges.
- Qualifications: Strong Excel skills, AI curiosity, and experience in BTR or logistics preferred.
- Other info: This role supports investment Associates and offers a chance to grow in a pivotal analytical position.
The predicted salary is between 36000 - 60000 £ per year.
Job Description
Committed to driving real change in the real estate industry, our client has a remarkable 20 years history of success linked to re-imagining of the built environment. With an expanding portfolio of over 8m Sqft across 8 countries, the company passionately drives real change, championing a carbon pledge which is amongst the most progressive in the industry, with a target of becoming Net Zero by 2028.
If you are motivated to progress your career in the private equity arena – re-imagining how real estate can solve real needs – with a business which responds to social, economic, environmental and health challenges, we would love to hear from you.
Your Responsibilities
- Creating new and amending exisiting financial models in excel
- Supporting both investment and development transactions, by assisting the team with IMC recommendations
- Leading the teams AI and Tech aspirations
- Leading the automation of pipeline reprts and their amendment
- Research projects with a view to developing insightful analysis
- Creating internal presentations
What we are Looking For
- You must be AI curious and demonstrate how and why you use it in your current role
- Highly accomplished in creating complex excel models from scratch
- Experience in BTR and logisitics would be advantageous
- You must be organised with strong record keeping skills and be able to multi task and prioritise
- You will be motivated to handle and interpret large quantities of data in order to lead to smarter investment analysis decisions
Its important to note that this role has been created to assist the investment Associates already in place. As such we are particulalry keen to hear from candidates who are happy to progress their career in a pivotal, supporting, analytical role. Equally key is your familiarity with and interest in technology and AI. As the business continues to embrace advancements in these areas, they are hoping to bring in an individual who is already highly aligned in this regard.
This is an amazing role to join a culturally diverse, collaborative and socially atuned investor as they seek to build out their UK platform at scale and pace.
Real Estate Analyst employer: Foundation Recruitment
Contact Detail:
Foundation Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real Estate Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in AI and technology as they relate to real estate. Being able to discuss how you've integrated these tools into your work will show your alignment with the company's aspirations.
✨Tip Number 2
Brush up on your Excel skills, especially in creating complex financial models. Consider taking a short course or using online resources to enhance your proficiency, as this is a key requirement for the role.
✨Tip Number 3
Network with professionals in the private equity and real estate sectors. Attend industry events or join relevant online forums to gain insights and make connections that could help you stand out during the hiring process.
✨Tip Number 4
Prepare to discuss your experience with data analysis and how it has influenced investment decisions in your previous roles. Be ready to provide examples that demonstrate your ability to handle large datasets effectively.
We think you need these skills to ace Real Estate Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with financial modelling, data analysis, and any relevant projects. Emphasise your familiarity with AI and technology, as these are key aspects of the role.
Craft a Compelling Cover Letter: In your cover letter, express your passion for real estate and how you align with the company's mission to drive change. Mention specific examples of how you've used AI in your previous roles and how it can benefit their operations.
Showcase Relevant Experience: When detailing your work history, focus on experiences that demonstrate your ability to create complex Excel models and manage large datasets. Highlight any experience in Build to Rent (BTR) or logistics, as this will set you apart.
Demonstrate Organisational Skills: Provide examples of how you've successfully managed multiple tasks and maintained strong record-keeping in past roles. This will show your potential employer that you can thrive in a fast-paced environment.
How to prepare for a job interview at Foundation Recruitment
✨Showcase Your Excel Skills
Since the role requires creating complex financial models in Excel, be prepared to discuss your experience with this. Bring examples of models you've built and be ready to explain your thought process and any challenges you faced.
✨Demonstrate AI Curiosity
The company values candidates who are AI curious. Be sure to share how you've integrated AI into your work, whether it's through data analysis or automating processes. This will show your alignment with their tech aspirations.
✨Highlight Your Organisational Skills
As the role involves multitasking and prioritising tasks, be ready to discuss how you manage your workload. Share specific strategies or tools you use to stay organised and ensure that you meet deadlines.
✨Research the Company’s Values
Understanding the company's commitment to sustainability and social responsibility is crucial. Familiarise yourself with their carbon pledge and be prepared to discuss how your values align with theirs, especially regarding real estate's role in addressing social and environmental challenges.