teya - Senior Business Analyst

London, United Kingdom3w ago

In Office Senior EMEA Fintech Business Intelligence Analyst Team Leadership Product Marketing SQL Python Data Analysis

Requirements

• 3+ years' experience in business analytics, credit analytics, valuations, strategy, customer analytics or a similarly data-driven environment, ideally within financial services, lending, fintech or another commercially complex business. • Bachelor's degree in a quantitative field such as Mathematics, Physics, Statistics, Economics or a related discipline. Advanced degree is a plus. • Strong proficiency in SQL and experience using Python for data analysis and modelling. • Experience building analytical models or frameworks from scratch, including defining the methodology, identifying the relevant data and developing appropriate assumptions. • Strong commercial judgement and the ability to connect analytical findings to business performance, strategic priorities and decision-making. • Excellent communication skills, with the ability to turn complex analysis into clear, compelling recommendations and influence senior stakeholders. • Strong stakeholder management and collaboration skills, with the ability to work effectively across technical and non-technical teams. • Familiarity with lending economics is a plus — expected loss, risk-adjusted returns, cohort repayment curves, NPV or customer lifetime value.

Responsibilities

• Own complex analytical and business problems from initial definition through to delivery, structuring ambiguous questions into clear hypotheses, analytical approaches and actionable recommendations. • Build models and analytical frameworks from first principles where required, identifying the appropriate data, methodology and assumptions needed to answer strategic business questions. • Build and maintain Net Present Value, unit economics and customer lifetime value models across Teya’s credit, acquiring and business account products. • Conduct deep-dive analysis of customer behaviour, product performance and portfolio economics to identify the drivers of value and uncover opportunities for improvement. • Use SQL and Python to extract, manipulate and analyse large datasets, developing robust analysis that can be translated into business decisions. • Design, implement and analyse experiments, including A/B tests, holdouts and natural experiments, to test hypotheses around pricing, credit risk, segmentation and product strategy. • Partner with Product, Finance, Marketing, Engineering and Growth to translate analytical findings into commercial, product and strategic decisions. • Communicate complex analysis clearly and effectively, producing compelling recommendations and presenting business-critical insights to senior stakeholders and leadership teams. • Take ownership of projects with a high degree of autonomy, driving work forward while bringing stakeholders together around a clear analytical approach and outcome.

Benefits

• We trust you, so we offer flexible working hours, as long as it suits both you and your team. • Physical and mental health support through our partnership with WellHub, giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, and digital fitness and nutrition apps. • Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support. • Cycle-to-Work Scheme. • Health and Life Insurance. • Pension Scheme. • 25 days of Annual Leave (plus Bank Holidays). • Office snacks every day. • Friendly, comfortable, and informal office environment in Central London.