teya - Finance Business Modelling Associate
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Requirements
• 4+ years’ experience in data modelling, analytics, or finance-focused roles (e.g. FP&A, Data Science, Quantitative Finance) • Strong quantitative background (e.g. Mathematics, Statistics, Economics, Engineering, Physics, or similar) • Proven experience building complex financial or business models (e.g. revenue, pricing, unit economics) • Experience designing and maintaining data pipelines and modelling layers (SQL-based transformations, data marts, semantic layers) • Strong SQL proficiency for data extraction, transformation, and validation • Experience with at least one programming language (e.g. Python) for modelling or automation • Experience with BI tools (e.g. Tableau, Power BI, Looker) • Experience working with Finance, FP&A, or Commercial stakeholders • Strong analytical thinking, attention to detail, and focus on data quality and scalability • Experience with statistical modelling or quantitative finance (e.g. forecasting, time-series, portfolio modelling, ML) • Hands-on experience with planning tools (e.g. Pigment, Anaplan, Adaptive Insights) • Experience in fintech, payments, or transactional business models • Familiarity with key metrics such as TPV, take rate, churn, and acquisition funnels
Responsibilities
• Unit Economics & Topline Modelling • Design, build, and maintain models and tools that power unit economics and topline reporting. • Ensure models are scalable, well-documented, and adaptable as new products, geographies, and segments are introduced. • Partner with FP&A and Data teams to align KPIs, business logic, and definitions across models and dashboards. • Reporting & Automation • Build and maintain automated data pipelines and reporting layers (e.g. SQL, Tableau, AWS). • Standardise recurring management reports and develop self-serve dashboards for stakeholders. • Implement monitoring and quality checks to ensure data accuracy and reliability. • Planning Tools (Pigment) • Support the implementation and scaling of Pigment for forecasting, budgeting, and scenario analysis. • Help define and maintain a scalable data model connecting Pigment with core data sources and reporting tools. • Forecasting & Insights • Develop and maintain forecasting models, including topline and unit economics simulations. • Deliver ad-hoc analysis to explain performance drivers, variances, and support strategic decision-making.
Benefits
• Physical and mental health support through our partnership with Gympass (Wellhub) • Enhanced maternity and paternity leave • Cycle-to-Work Scheme • Private Health and Life Insurance • Pension Scheme • 25 days annual leave + bank holidays • Daily office snacks • Friendly, collaborative, and informal working environment in Central London
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