обновлено 1 день назад
Analytics Lead, Full Stack (Fintech)
113 000 - 161 000GBP
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Lead, Full Stack (Fintech): Building scalable operational analytics frameworks, data models, dashboards, and reporting for international buy-now-pay-later market launches with an accent on growth analytics, lending economics, and profitability measurement. Focus on designing experiments, analyzing credit and portfolio metrics, and translating complex findings into business cases and optimization strategies for cross-functional leadership.
Location: Remote UK
Base pay: £113,000–£161,000 per year
Company
A fintech company providing buy-now-pay-later credit with transparent pricing and no hidden fees or compounding interest.
What you will do
- Establish and evolve the operational analytics framework for new international markets, beginning with Australia and supporting future launches.
- Define success metrics, generate insights and hypotheses, monitor performance, and build scalable data models, dashboards, and reports.
- Identify opportunities to improve user experience, growth, profitability, and operational excellence through business analysis and product sense.
- Design actionable experiments to validate product-market fit and economic viability, including analysis of ambiguous business problems.
- Translate analytical findings into recommendations, optimization strategies, and compelling business cases for leadership.
- Lead weekly cross-functional metric reviews, partner with Product, Risk, Finance, Commercial, and Operations, and mentor junior analysts.
Requirements
- 5+ years of experience in a cross-functional analytical role.
- Strong knowledge of consumer lending and credit, including lending economics, portfolio performance, and credit metrics.
- Bachelor’s or Master’s degree in statistics, mathematics, finance, economics, or another quantitatively rigorous field.
- Practical and theoretical knowledge of A/B testing, with experience using SQL and Python for statistical analysis.
- Experience balancing multiple workstreams, prioritizing an analytics roadmap, and influencing technical and non-technical audiences.
- Hands-on experience with AI-powered tools such as Cursor, Claude, or similar assistants to accelerate analysis and automate workflows.
Nice to have
- Experience supporting international lending markets, particularly in Europe or APAC.
Culture & Benefits
- Remote-first work model within the country of employment.
- Health, dental, and vision coverage with medical premiums fully subsidized for employees and dependents.
- Monthly or flexible spending stipends for technology, food, lifestyle, wellness, and family-forming expenses.
- Competitive vacation and holiday schedules.
- Employee stock purchase plan and potential equity rewards.
Hiring process
- Inclusive interview experience with reasonable accommodations available for candidates who need individualized support.
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