Job Description

Description

---------------

Role Overview

We are seeking a highly analytical and detail-oriented strategic Finance Associate to support the commercial finance team in understanding and forecasting player behaviour, with a particular focus on player churn and retention.


The successful candidate will design, build, and maintain a robust Excel-based cohort model that quantifies churn dynamics, supports financial forecasting, and helps guide strategic decisions around player lifetime value, marketing ROI, and retention initiatives.

Location: Hybrid - 2 days a week in Jagex office (Cambridge)

Reports to: Director of Commercial Finance

Key Responsibilities

Model Development & Maintenance Design and build a dynamic Excel model to track and forecast player churn by cohort, incorporating key behavioural and financial metrics (e.g. acquisition date, spend, activity, retention curves). Maintain and update the model regularly with new data from finance and data analytics teams. Ensure the model is transparent, auditable, and scalable for future business needs. Support with the preparation of Board materials Data Analysis & Insights Maintain the on-going partnership with the Games and Data teams to reflect changes to assumptions and game roadmaps. Supporting creation of business cases to calculate and support ROI narrative Analyse player lifecycle data to identify churn drivers, retention trends, and revenue impacts. Segment players into cohorts (e.g. by acquisition channel, geography, game title, or spend level). Work closely with marketing and product teams to quantify the impact of retention campaigns or game changes. Financial Forecasting & Reporting Work closely with product teams to translate Jagex position in the games industry & beyond Integrate churn assumptions into revenue and cash flow forecasts. Support budgeting and scenario modelling by providing insight into expected churn rates and lifetime values. Prepare and present findings to finance leadership and key stakeholders across the business. Collaboration & Cross-Functional Work Partner with Data, Marketing, and Product teams to align definitions and data inputs. Collaborate with BI and data engineers to automate model inputs over time (e.g. via SQL or Power Query). * Translate complex analytical outputs into clear, actionable insights for non-technical stakeholders.