SPECIALISTS IN FINANCIAL MODELLING

Why every Excel model you build makes you a better modeller

There’s nothing quite like experience to really hone and sharpen your Excel modelling skills. Every hour that you spend nutting through a problem on the job means that the next time you come across a similar problem, you’ll solve it in a matter of minutes, not hours. This is especially true for creating complicated Excel formulas, or for model design and layout. So often I come across a problem when building a modelling solution for a client and I know I’ve seen this problem before.  Whilst it might have taken me half an hour to model it out the first time, often using trial and error but the next time it’ll only take a few minutes. The more experience you’ve got, the quicker and better modeller you’ll be.

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Should I put “financial modelling” on my resume?

I’m often asked what degree of skill level one needs to be able to include financial modelling as a skill on your resume or LinkedIn profile.  Once you’ve got an idea of exactly what is financial modelling, what is involved in the modelling process and you feel like you’ve got a good knowledge of financial modelling skills that you have used in the workplace then – yes – “Financial modelling” definitely needs to go on your resume and on LinkedIn. (Hint: no one can endorse you for a skill unless you list it on your profile, so be sure to keep your skills listing up to date).

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Presentation skills for finance professionals

Professionals working in a finance team might build beautiful reports or financial models which we are enormously proud of, as we have usually put a huge amount of work into. These models are not helpful, however, if other people are not able to actually use or understand them and their messages and use them to make decisions. One of the things – and often the missing piece – for financial modellers is having the skills to present the output of the model in a way that is useful and easy for others to interpret.

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Modelling the Future | Full Stack Modeller

Recently our friends at Full Stack Modeller conducted the biggest ever survey of the financial modelling profession, and the results were published in February 2021. What are financial modeller’s biggest frustrations? How much do modellers earn? What add-ins and tools beyond Excel do modellers use? Covering tools, standards, risk management and more, the 2021 survey paints a picture of the current state of play in financial modelling.

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Why I use Excel

Excel

I’ve been consulting, writing, training and speaking about the use of Excel for analysis, building financial models, budgets and dashboards for many years now and I’ve lost count of the times I’ve been contacted by software providers who’d like “my opinion” on their new software or add-in to Excel which is so much better than plain or, as I like to call it, “vanilla” Excel. Seriously, I get messages about this All. The. Time. So I thought I’d sit down and explain my views on why I stick to Excel.

Having written several books on the subject and hence committed a large part of my career to the use of Excel, I’ve had to seriously consider that perhaps I’m too stuck in my ways to consider any of these new tools. The title of my first Wiley Finance book which has been revised and published three times and sold thousands of copies was “Using Excel for Business Analysis,” so I guess you could say I’m pretty invested in the success of the software.

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Why budgeting & forecasting skills are critical

We used to be able to simply look at last year’s actuals, apply growth trends and the seasonality to build budgets and forecast going forward but we just can’t do that anymore! It’s never been more important to have the skills to be able to build robust, flexible and dynamic budget models to accurately predict budgets and forecasts for future periods.

I am very much looking forward to my new LIVE and ONLINE sessions on one of my favourite topics – budgeting and forecasting!  During the many years I’ve been working as a finance & analytical consultant, I’ve built, overseen, implemented and reported against scores of budgets and forecasts across a multitude of industries, but forecasting has never been as much of a challenge as it is at the moment.  

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