

Marks Sattin
Financial Modeller/Valuations
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Financial Modeller/Valuations Manager on a 6-12 month contract, paying £500-£650 per day. Located in Central London (4 days in-office, 1 day WFH), it requires 5+ years of financial modelling experience, advanced Excel skills, and a background in Big 4 or private equity.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 30, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Automation #Data Manipulation #Data Quality #Power Pivot #Data Mapping #VBA (Visual Basic for Applications) #Monitoring #"ETL (Extract #Transform #Load)" #Scala #Macros
Role description
Manager - Financial Modelling (Contract)
£500-£650 per day (Umbrella)
Location: Central London (4 days in-office, 1 day WFH)
Duration: 6-12 months
An opportunity has arisen with a leading global private markets investment platform for an experienced Financial Modelling specialist to support a high-profile transformation programme.
This role sits at the heart of a firm-wide initiative to modernise portfolio reporting, financial data collection, and valuation processes. You will play a pivotal role in designing scalable Excel-based solutions that underpin decision-making across investment and finance teams.
The Opportunity
This is a hands-on, high-impact contract role focused on building and optimising financial data infrastructure. You'll work closely with senior stakeholders across finance, portfolio monitoring, and technology to create robust, automated solutions in a complex investment environment.
Key Responsibilities
• Design and enhance advanced Excel templates to capture financial and KPI data across a diverse portfolio
• Build scalable, structured models with strong data validation and auditability
• Automate workflows using Power Query, VBA/macros, and advanced Excel techniques
• Support data mapping, reconciliation, and integration with wider reporting systems
• Improve data quality, consistency, and governance across financial processes
• Partner with finance, valuation, and data teams to translate requirements into practical tools
• Contribute to broader automation and process improvement initiatives
Candidate Profile
We're targeting high-calibre contractors with a strong blend of financial expertise and advanced Excel capability.
Core requirements:
• 5 years + experience in financial modelling, data/process design, or financial systems
• Background in Big 4 Transaction Services / Deals / Valuations or a private equity / asset management environment
• Advanced Excel skills, including experience building robust, scalable templates and models
• Strong understanding of financial statements, KPIs, and data flows
• Experience with Power Query, Power Pivot, VBA/macros, and data manipulation
Why Apply?
• Work on a high-visibility transformation programme within a leading investment environment
• Gain exposure to portfolio-level data, valuation processes, and senior stakeholders
• Clear scope, autonomy, and the opportunity to make an immediate impact
We are happy to provide application and/or accessibility support, please contact your Marks Sattin or Grafton consultant directly to discuss your needs. We're committed to protecting the privacy of all our candidates and clients, please visit and for our privacy policy.
Manager - Financial Modelling (Contract)
£500-£650 per day (Umbrella)
Location: Central London (4 days in-office, 1 day WFH)
Duration: 6-12 months
An opportunity has arisen with a leading global private markets investment platform for an experienced Financial Modelling specialist to support a high-profile transformation programme.
This role sits at the heart of a firm-wide initiative to modernise portfolio reporting, financial data collection, and valuation processes. You will play a pivotal role in designing scalable Excel-based solutions that underpin decision-making across investment and finance teams.
The Opportunity
This is a hands-on, high-impact contract role focused on building and optimising financial data infrastructure. You'll work closely with senior stakeholders across finance, portfolio monitoring, and technology to create robust, automated solutions in a complex investment environment.
Key Responsibilities
• Design and enhance advanced Excel templates to capture financial and KPI data across a diverse portfolio
• Build scalable, structured models with strong data validation and auditability
• Automate workflows using Power Query, VBA/macros, and advanced Excel techniques
• Support data mapping, reconciliation, and integration with wider reporting systems
• Improve data quality, consistency, and governance across financial processes
• Partner with finance, valuation, and data teams to translate requirements into practical tools
• Contribute to broader automation and process improvement initiatives
Candidate Profile
We're targeting high-calibre contractors with a strong blend of financial expertise and advanced Excel capability.
Core requirements:
• 5 years + experience in financial modelling, data/process design, or financial systems
• Background in Big 4 Transaction Services / Deals / Valuations or a private equity / asset management environment
• Advanced Excel skills, including experience building robust, scalable templates and models
• Strong understanding of financial statements, KPIs, and data flows
• Experience with Power Query, Power Pivot, VBA/macros, and data manipulation
Why Apply?
• Work on a high-visibility transformation programme within a leading investment environment
• Gain exposure to portfolio-level data, valuation processes, and senior stakeholders
• Clear scope, autonomy, and the opportunity to make an immediate impact
We are happy to provide application and/or accessibility support, please contact your Marks Sattin or Grafton consultant directly to discuss your needs. We're committed to protecting the privacy of all our candidates and clients, please visit and for our privacy policy.






