Описание
Teya builds a financial platform for local businesses across Europe, providing simple tools, thoughtful design, and human support for cafés, restaurants, salons, shops, and other entrepreneurs.
Задачи
- Own complex analytical and business problems from definition through delivery, structuring ambiguous questions into hypotheses, analytical approaches, and recommendations;
- Build models and analytical frameworks from first principles, defining the required data, methodology, and assumptions;
- Build and maintain Net Present Value, unit economics, and customer lifetime value models across credit, acquiring, and business account products;
- Analyze customer behavior, product performance, and portfolio economics to identify value drivers and improvement opportunities;
- Use SQL and Python to extract, manipulate, and analyze large datasets;
- Design, implement, and analyze experiments, including A/B tests, holdouts, and natural experiments;
- Challenge existing models, assumptions, and methodologies against real-world performance;
- Develop metrics, dashboards, and analytical frameworks for performance monitoring;
- Partner with Product, Finance, Marketing, Engineering, and Growth to translate analysis into commercial, product, and strategic decisions;
- Identify data gaps, analytical limitations, and opportunities to improve business measurement;
- Communicate complex analysis and present business-critical insights to senior stakeholders and leadership teams;
- Take ownership of projects with a high degree of autonomy, aligning stakeholders around a clear analytical approach and outcome;
- Support analytical capability across the wider team through methodologies, knowledge sharing, and analytical standards.
Требования
- 3+ Years' experience in business analytics, credit analytics, valuations, strategy, customer analytics, or a similarly data-driven environment;
- Bachelor's degree in Mathematics, Physics, Statistics, Economics, or a related quantitative discipline;
- Strong proficiency in SQL and experience using Python for data analysis and modelling;
- Ability to structure and solve complex, ambiguous business problems using a systematic, hypothesis-driven approach;
- Experience building analytical models or frameworks from scratch, including methodology, data, and assumptions;
- Strong commercial judgment and ability to connect analysis to business performance, strategic priorities, and decision-making;
- Excellent communication skills and ability to influence senior stakeholders;
- Comfortable presenting analytical findings to senior leadership and shaping strategic discussions with data;
- Self-directed, comfortable with ambiguity, and able to take ownership through project completion;
- Strong stakeholder management and collaboration skills across technical and non-technical teams;
- Nice to have: Advanced degree, familiarity with lending economics including expected loss, risk-adjusted returns, cohort repayment curves, NPV, or customer lifetime value.
Условия
- Flexible working hours agreed with the team;
- Free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, and digital fitness and nutrition apps through WellHub;
- Extended and improved maternity and paternity leave options;
- Cycle-to-Work Scheme;
- Health and Life Insurance;
- Pension Scheme;
- 25 Days of Annual Leave plus Bank Holidays;
- Daily office snacks;
- Friendly, comfortable, and informal office environment in Central London.
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business analyst financial products employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.