FP&A Manager

Overview

In this role you will support the FP&A function to deliver three-statement financial and non-financial modelling, forecasting, and planning. You will maintain and enhance planning models within the EPM platform and help translate outputs into actionable insights for leadership.

You will collaborate across the business to source inputs, validate data, and challenge the integrity of model outputs. You will apply financial modelling principles, explore process improvements, and leverage technology to scale planning efforts.

This is a hands-on, high-impact position at a leading quantitative investment manager, offering growth within a high-performing finance team.

Responsibilities

• Support the development and maintenance of three-statement financial models within an EPM platform
• Develop and refine planning models as the FP&A function expands into different parts of the business
• Prepare financial models and business cases to evaluate investments and strategic initiatives
• Source forecast inputs from stakeholders and load/validate them in the planning system
• Sense-check model outputs and data integrity; investigate and resolve issues
• Analyse outputs and key drivers, presenting insights to stakeholders for decision-making
• Develop EPM data integrations, planning models, and reporting outputs
• Leverage LLM tools and other technologies to improve processes and efficiency

Key requirements

• Relevant FP&A/finance experience with strong financial modelling
• Experience building, maintaining or improving three-statement models
• Experience with EPM tools (Workday Adaptive Planning, Anaplan or Vena)
• Proficiency in Excel; familiarity with LLM tools
• Strong communication and relationship-building skills across the business
• High attention to detail and a proactive, independent work style
• Ability to work under pressure and manage deadlines in a fast-paced environment
• Experience creating business cases and financial models for investments or strategic decisions (advantageous)
• Experience with data visualization (advantageous)
• Knowledge of SQL, Python or M is beneficial but not essential
• Strong communication skills
• Attention to detail
• Independent, proactive mindset
• Workday Adaptive Planning, Anaplan, or Vena
• Microsoft Excel
• Data visualization for dashboards and graphs

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