Finatal
Financial Modelling & Value Creation Analytics Professional

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Financial Modelling & Value Creation Analytics Professional Pan-European Private Equity/Credit Fund, London Attractive salary Location: Central London WW14756
The Opportunity:
Finatal is working with a Pan-European private investment firm that is looking for a driven and commercial individual to join the Analytics team.
The ideal candidate will have exceptional modelling skills and a desire to move over to the buy-side in a private equity environment.
The Role:
The Analytics team leads on data analysis to drive reporting and strategic decision-making at both asset and portfolio level.
The team works closely with the firm’s Asset Management and Investment Teams to identify opportunities/risks and implement strategic value-add projects that require a thoughtful and logical approach backed by robust analysis.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
The team also owns core investment management responsibilities in relation to driving the portfolio valuation strategy, leading on quarterly investor reporting and (alongside Asset Management) updating the fund’s stakeholders as required.


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- Identify portfolio opportunities and lead execution of strategic projects across current and future investments, utilising innovative data analytics to provide insights to internal teams and investee companies.
- Alongside the Head of Analytics, the Lead Data Scientist will develop this function, particularly the data science skillset, as the portfolio grows.
The Requirements:
- Excellent technical proficiency in Excel and financial modelling, and a desire to continue expanding skills in data analytics.
- Proactive and creative approach to come up with ideas and deliver projects.
- Tenacious self-starter and logical problem-solver with the long-term determination to see projects through to the end.
- Commercially strong with the ability to deliver innovative solutions of the highest quality, and able to explain complex and technical matters to others in plain language.
- Exceptional multi-tasker with the ability to manage several high profile projects at once.
- Strong communicator with dynamic leadership skills.
- Focused on self-development as well as having the desire to coach, mentor and develop colleagues in the long-term.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
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