Finance Data Modelling Associate in London

Hello! We're Teya. Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance. At Teya we believe small, local businesses are the lifeblood of our communities. We’re here because we don’t believe there’s a level playing field that gives small businesses with a fighting chance against the giants of the high street. We’re here because we see banks and legacy service providers making things harder for them. We don’t think the best technology or the best service should be reserved for those with the biggest headquarters. We’re here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us. Become a part of our story. We’re looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits.

The Role

We are looking for a Finance Data Modelling Associate to strengthen our unit economics and topline reporting capabilities. This role sits at the intersection of Finance and Analytics, building and maintaining scalable models, reporting infrastructure, and planning tools that directly support decision-making across the business. You will work closely with FP&A, Data, and Commercial teams to ensure we have robust, automated, and trusted tools for revenue forecasting, unit economics, and management reporting.

Your 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.
  • Apply statistical and quantitative techniques to improve forecast accuracy.
  • Deliver ad-hoc analysis to explain performance drivers, variances, and support strategic decision-making.

Must Have

• 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

Nice to Have

• 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

The Perks

• 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

Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.