- Страна
- Великобритания
Откликайтесь
на вакансии с ИИ

Credit Data Analyst
Привлекательная позиция в быстрорастущем финтехе стадии Series B с социально значимой миссией. Гибридный формат работы в Лондоне и работа с современным стеком технологий делают вакансию отличным вариантом для опытных аналитиков.
Сложность вакансии
Роль требует глубоких знаний SQL и Python, а также специфического опыта в британском потребительском кредитовании и работе с данными кредитных бюро. Процесс отбора включает техническое задание с презентацией, что повышает планку для кандидатов.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Credit Data Analyst в Лондоне рыночный диапазон составляет от £50,000 до £75,000 в год в зависимости от опыта. Финтех-компании уровня Series B обычно предлагают конкурентные условия, часто дополненные опционами.
Сопроводительное письмо
I am writing to express my strong interest in the Credit Data Analyst position at LemFi. With a solid background in SQL, Python, and dbt, combined with experience in the UK consumer lending sector, I am eager to contribute to your mission of building a superior financial ecosystem for the Global South. My expertise in cohort analysis and credit risk metrics aligns perfectly with your need for an analytical engine to drive underwriting and portfolio management decisions.
In my previous roles, I have successfully translated complex credit bureau data into actionable insights for senior stakeholders, ensuring both commercial growth and regulatory compliance. I am particularly drawn to LemFi's data-led culture and your commitment to financial inclusion. I am confident that my proactive approach and technical skills will help LemFi continue to scale its lending operations and deliver real value to immigrants worldwide.
Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в lemfi уже сейчас
Присоединяйтесь к LemFi, чтобы трансформировать данные в финансовые возможности для миллионов людей по всему миру!
Описание вакансии
LemFi (Series B) is building the go-to financial app for the Global South.
Moving to a new country shouldn’t mean starting from zero. That's why our team of 400+ spanning 20+ countries is building a financial ecosystem that helps immigrants stay connected to home, build stability, and create wealth regardless of where they are from or where they live.
What began as fast, affordable remittances is now evolving into a complete platform for multi-currency accounts, payments, credit, and long-term financial growth.
With millions of users across the globe, we process over $1B in monthly transactions to 30+ countries, proving that borders shouldn't limit financial opportunity.
The Role
You will be the analytical engine behind our credit decision-making and portfolio performance insights. Your primary focus will be transforming lending data into clear, actionable intelligence that supports underwriting, portfolio management, valuation, and commercial strategy.
You won’t just be producing reports; you will uncover trends, surface risks, and tell the story behind the numbers—helping senior leadership and credit teams make fast, confident, and well-informed decisions across the lending lifecycle.
This is a hands-on, data-driven role at the heart of our lending business, embedded within the Credit function and working closely with stakeholders across Data, Risk, Finance, and Commercial teams.
How You’ll Contribute
- Analyse & Interpret: Perform ad hoc analysis on lending portfolio performance, customer behaviour, credit risk drivers, and product outcomes.
- Build & Report: Design, build, and maintain management dashboards, recurring performance reports, and KPI tracking to support day-to-day and strategic decision-making.
- Cohort & Valuation Analysis: Conduct cohort analysis to inform valuation, product development, and credit strategy, helping the business understand performance over time.
- Identify Risks & Opportunities: Proactively identify trends, emerging risks, and growth opportunities using data-driven insights and clear analytical reasoning.
- Support Strategic Decisions: Deliver deep-dive analysis for strategic initiatives, presenting findings clearly and concisely to senior stakeholders.
- Collaborate Cross-Functionally: Work closely with decision science, underwriting, finance, product, and commercial teams to translate analytical insights into concrete business actions.
- Compliance: Ensure all analysis and reporting aligns with internal standards and regulatory requirements, including FCA and CONC guidelines.
Who You Are
- Data-Driven & Curious: You enjoy exploring data, asking the right questions, and uncovering insights that drive better credit and commercial outcomes.
- Detail-Oriented: You care deeply about accuracy, consistency, and reliability—especially when working with financial and credit data.
- Commercially Minded: You understand how analytics connects to business performance, valuation, and strategy, and you tailor insights to decision-makers.
- Collaborative: You communicate clearly with both technical and non-technical stakeholders, valuing transparency and shared outcomes.
- Adaptable: You thrive in a fast-paced fintech environment, take ownership of your work, and embrace change with a proactive mindset.
What You’ll Bring
- Strong technical expertise in SQL and Python, with hands-on experience in cloud data warehouses and data transformation tools (e.g., dbt).
- Experience within UK consumer lending, fintech, or broader financial services, with familiarity in credit and lending workflows.
- Proven ability to conduct cohort analysis and support valuation or financial modelling for strategic decision-making.
- Solid understanding of credit portfolio KPIs, risk metrics, and lending performance drivers across the credit lifecycle.
- Hands-on experience with credit bureau data and internal credit performance datasets.
- Skilled at translating complex data into actionable insights for senior stakeholders, with a proactive, analytical, and commercially-minded approach.
The Interview Process
- Chat with a Talent Partner (30 mins)
- Behaviours & Culture Interview (45 mins)
- Technical Assignment (60 mins presentation)
- Final Interview (30 mins)
#LI-AP1
Why Join LemFi?
Love shouldn’t be expensive, yet those working hardest for their families often face predatory fees and banking exclusion. We're changing this.
At LemFi, you won’t be just a cog in a machine. Whether designing products, scaling operations, or telling our story, you’ll tackle complex challenges with real, immediate impact. Your work goes beyond metrics - it puts money back in families’ pockets and offers access to the previously excluded. Join us to make a meaningful difference, where high performance is a lifeline for millions.
Our Values: How We Win
- Sharp Customer Focus 🎯 We cut through the noise and prioritize ruthlessly based on what drives real value.
- Lead with Data 📊 We trade instinct for insight. We test, analyze, and own the outcomes.
- Ownership 🤝 We take responsibility for global outcomes, not just local wins.
- Grit 💪 We navigate ambiguity with resilience and keep pushing until the customer feels the impact.
You can connect with us on LinkedIn and Instagram and if you haven't already, download the app on the App Store or Google Play.
Diversity & Inclusion at LemFi
To build the best financial tools for the global diaspora, we need a team that reflects the world we serve. We welcome builders from all walks of life who embody our values over a perfect resume.
Don’t meet every single requirement in the job ad? Research shows that candidates from underrepresented backgrounds often hesitate to apply if they don't check every box. If you are excited about this role and our mission, we encourage you to apply anyway. You might be just the right person for this, or other roles.
Создайте идеальное резюме с помощью ИИ-агента

Навыки
- Financial Modeling
- Python
- SQL
- dbt
- Data Visualization
- Data Warehousing
- Credit Risk Analysis
- Cohort Analysis
Возможные вопросы на собеседовании
Проверка технической экспертизы в основном стеке компании.
Расскажите о самом сложном проекте по трансформации данных с использованием dbt и SQL: с какими проблемами качества данных вы столкнулись?
Оценка понимания специфики кредитного бизнеса.
Какие ключевые метрики (KPI) вы бы использовали для оценки здоровья кредитного портфеля на этапе ранней просрочки?
Проверка навыков финансового моделирования.
Опишите ваш опыт проведения когортного анализа для оценки LTV (Lifetime Value) кредитных продуктов.
Проверка знаний регуляторной среды Великобритании.
Как вы обеспечиваете соответствие аналитической отчетности принципам FCA и руководствам CONC?
Оценка способности доносить выводы до руководства.
Приведите пример, когда ваш анализ данных привел к изменению кредитной стратегии или политики андеррайтинга.
Похожие вакансии
Аналитик данных (Middle+)
Senior Data Analyst
Аналитик данных (Middle+)
DWH аналитик на банковский проект
Data аналитик (Senior)
Data аналитик (Senior)
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- Великобритания