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For Companies At a Glance
- Tasks: Build and maintain financial models, analyse data, and support live transactions.
- Company: Leading global investment advisory firm with a strong focus on innovation.
- Benefits: Full-time role with opportunities for career growth and skill development.
- Why this job: Join a dynamic team and make an impact in the investment banking sector.
- Qualifications: Accounting background with strong financial modelling skills required.
- Other info: Work in a fast-paced environment with a healthy pipeline of projects.
The predicted salary is between 36000 - 60000 £ per year.
My client is a leading global investment advisory firm providing strategic M&A, capital markets and debt advisory services. Working with clients, large corporates, conglomerates and growth companies they have a strong focus on Consumer, Retail, Industrials and Technology sectors. Due to continued growth and a very healthy pipeline of projects they are actively hiring an Associate for their team in London.
The Opportunity
This is an excellent opportunity to join a highly respected and entrepreneurial team that has a very strong pipeline of projects, where you will have the ability to grow and develop your skills and career.
The Details
- Build and maintain quantitative/statistical models supporting deal analytics, client targeting, valuation sensitivity, revenue forecasting, and market trend analysis.
- Develop predictive models using machine learning and econometric techniques to identify opportunities, improve pricing, or enhance client engagement.
- Enhance M&A and financing models with analytics features, automation, and scenario‑based outputs.
- Analyse large datasets (internal & external) to identify trends and provide actionable insights to deal teams.
- Support live transactions with rapid analytics and model‑based insights.
- Design and automate dashboards for senior management using Power BI and Alteryx.
Person Specification
- Must have an accounting background - ACA or CIMA or similar are highly desired - with a minimum of a year in a financial modelling or similar team.
- Must have exceptionally strong financial modelling skills.
- Experience working with large datasets and building data pipelines.
- Excellent communication skills — able to convey complex quantitative analysis to non‑technical senior stakeholders.
- Strong attention to detail, analytical rigour, and a structured approach to problem‑solving.
- Highly organised, proactive, and comfortable managing multiple workstreams.
Location: London, England, United Kingdom
Associate - Financial Modelling employer: Alan Mitchell
Contact Detail:
Alan Mitchell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Associate - Financial Modelling
✨Network Like a Pro
Get out there and connect with people in the industry! Attend networking events, join relevant online forums, and don’t be shy about reaching out to professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!
✨Show Off Your Skills
When you get the chance to meet potential employers, make sure to showcase your financial modelling skills. Bring along examples of your work or even create a mini-project that highlights your abilities. We want to see how you can add value to their team!
✨Prepare for the Interview
Do your homework before the interview! Research the company, understand their projects, and be ready to discuss how your skills align with their needs. We recommend practising common interview questions and preparing some insightful questions to ask them too.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive opportunities listed there that you won’t find anywhere else. Let’s get you that Associate role!
We think you need these skills to ace Associate - Financial Modelling
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Associate role. Highlight your financial modelling skills and any relevant experience with large datasets. We want to see how your background aligns with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Analytical Skills: In your application, don’t forget to mention specific examples of how you've used analytical skills in past roles. Whether it's building predictive models or analysing market trends, we want to know how you’ve made an impact!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Alan Mitchell
✨Know Your Financial Modelling Inside Out
Make sure you brush up on your financial modelling skills before the interview. Be prepared to discuss specific models you've built and how they contributed to decision-making. Practising explaining complex concepts in simple terms will help you impress those non-technical stakeholders.
✨Showcase Your Analytical Skills
Be ready to talk about your experience with large datasets and how you've used them to derive insights. Think of examples where your analytical rigour made a difference in a project. This will demonstrate your ability to support live transactions with rapid analytics.
✨Communicate Clearly and Confidently
Since excellent communication is key, practice articulating your thoughts clearly. You might be asked to explain a complex analysis, so rehearse how you'd convey that to someone without a technical background. Confidence in your delivery can make a huge difference.
✨Prepare Questions About the Role
Have a few thoughtful questions ready about the team, projects, or company culture. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.
