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Pricing Analyst

A leading US law firm is seeking a Pricing Analyst to join its growing London office. This role sits at the heart of the firm's client‑value strategy, supporting lawyers and business teams in developing competitive, data‑driven fee proposals and ensuring strong financial outcomes across matters and client relationships.

The Pricing Analyst will play a key role in preparing financial models, analysing alternative fee arrangements, and producing clear reporting that supports both new business efforts and ongoing matter management. This is a highly collaborative, cross‑functional position working closely with Finance, Practice Operations, and Business Development teams.

Key Responsibilities

  • Prepare financial models and templates to support analysis of a wide range of fee proposals using firm financial metrics.
  • Run profitability and sensitivity analyses to support evaluation of pricing proposals and inform business decisions.
  • Produce internal and external reporting for ongoing matters to support accurate revenue forecasting.
  • Support the implementation of approved pricing proposals.
  • Contribute to the development and automation of matter budgets and matter‑management initiatives.
  • Build a strong understanding of the firm's departments, practice groups, and clients to support strategic pricing and planning initiatives.

Requirements

  • Minimum 2 years of relevant financial analysis or pricing experience; experience in the legal industry is highly desirable.
  • Strong written and verbal communication skills.
  • Exceptional attention to detail and the ability to manage multiple priorities simultaneously.
  • Collaborative team player with the ability to build strong working relationships across the firm.
  • Proficiency in Excel and relational database systems; experience with SQL and VBA is a plus.
  • Experience using generative AI tools (e.g., ChatGPT) is an advantage.
  • Ability to handle confidential and sensitive information with discretion.
  • Flexibility to adjust working hours based on workload demands.

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