At a Glance
- Tasks: Join a collaborative team to build financial models and analyse data for top financial institutions.
- Company: A leading FinTech firm specialising in commercial real estate analytics, supporting $60 billion in assets globally.
- Benefits: Enjoy hybrid working, flexible hours, and the chance to influence major investment decisions.
- Why this job: This role blends finance and tech, offering a dynamic environment with significant career growth potential.
- Qualifications: Strong Excel skills, a degree in Finance or related fields, and an analytical mindset are essential.
- Other info: Open to both experienced analysts and ambitious graduates eager to make an impact.
The predicted salary is between 48000 - 72000 £ per year.
Financial Analyst – Commercial Real Estate | London | £60,000 – £80,000 + Bonus An exciting opportunity to join a fast-growing FinTech business at the forefront of commercial real estate analytics. This is a high-impact, client-facing role where you\’ll work with leading financial institutions and directly influence investment decisions through advanced modelling and data analysis. The Company: A specialist in commercial real estate (CRE) risk and analytics, this company provides software and consulting to some of the world’s most recognised banks, insurers, and asset managers. Their proprietary platform supports over $60 billion in CRE assets globally, offering loan origination, portfolio monitoring, and financial risk modelling. The Role: You’ll join a small, collaborative team to work on financial models, client deliverables, and platform enhancements. The role sits at the intersection of finance and technology, offering a varied workload and exposure to both disciplines. Key Responsibilities: * Build and manage financial and cash flow models in Excel * Analyse large financial datasets, including NOI and other CRE metrics * Support client requests and deliverables, often to tight deadlines * Collaborate with software developers to shape analytical tools * Option to contribute to open code enhancements and model design Requirements: * Strong Excel and financial modelling experience * Background in cash flow analytics or investment analysis * 2:1 or above in Finance, Quantitative Finance, Mathematics, or Computer Science * Strong attention to detail and analytical mindset * Confident working with clients in a fast-paced environment Desirable: * Commercial Real Estate experience * Exposure to banking, investment, or risk modelling * Knowledge of SQL or Java Location & Working Pattern: * London-based office (Liverpool Street) * Hybrid: 2 days in-office (Tues & Wed), flexible working hours This role is a fantastic opportunity for someone looking to expand their career in a dynamic, intellectually stimulating environment. Applications from both experienced analysts and high-potential graduates will be considered
Financial Analyst employer: Avanti Recruitment
Contact Detail:
Avanti Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Financial Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in commercial real estate analytics. Understanding the current market dynamics and how they affect financial modelling will give you an edge during interviews.
✨Tip Number 2
Network with professionals in the FinTech and commercial real estate sectors. Attend industry events or webinars to connect with potential colleagues and learn more about the company culture at StudySmarter.
✨Tip Number 3
Brush up on your Excel skills, particularly in financial modelling and cash flow analysis. Being able to demonstrate your proficiency in these areas during discussions can significantly boost your chances.
✨Tip Number 4
Prepare to discuss how you would handle client requests under tight deadlines. Think of examples from your past experiences that showcase your ability to work efficiently and collaboratively in a fast-paced environment.
We think you need these skills to ace Financial Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in financial modelling and cash flow analytics. Use specific examples that demonstrate your skills in Excel and any experience with commercial real estate or investment analysis.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your analytical mindset and client-facing experience. Be sure to include why you are interested in working at the intersection of finance and technology.
Showcase Relevant Skills: When filling out your application, emphasise your strong attention to detail and ability to work under tight deadlines. If you have experience with SQL or Java, make sure to mention it as it is desirable for the role.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your professionalism and attention to detail.
How to prepare for a job interview at Avanti Recruitment
✨Showcase Your Excel Skills
Since strong Excel and financial modelling experience is crucial for this role, be prepared to discuss specific examples of how you've used Excel in your previous work. Consider bringing a portfolio of models you've built or analyses you've conducted to demonstrate your proficiency.
✨Understand Commercial Real Estate Metrics
Familiarise yourself with key commercial real estate metrics such as Net Operating Income (NOI) and cash flow analytics. Being able to discuss these concepts confidently will show that you have a solid understanding of the industry and can contribute effectively from day one.
✨Prepare for Client-Facing Scenarios
As this role involves direct client interaction, think about past experiences where you've successfully managed client relationships or delivered under pressure. Be ready to share these stories, highlighting your communication skills and ability to meet tight deadlines.
✨Demonstrate Your Analytical Mindset
The company values strong analytical skills, so be prepared to discuss how you approach problem-solving and data analysis. You might want to prepare a case study or example where your analytical thinking led to a successful outcome, especially in finance or technology contexts.