Salary: £66,000 - 106,000 per year
Requirements:
- 5+ years of experience in data analytics
- 2+ years of experience in advanced analytics and statistical techniques
- Extensive experience with SQL, dbt (ideally), and Python/R
- Strong quantitative skills, ideally with a background in statistics, maths, physics, engineering, computing, or another scientific area
- Strong communication skills and the ability to translate business and engineering problems into analytical solutions while being sensitive to customer needs
- Ability to structure business problems with minimal supervision and prioritise problems collaboratively with PMs and Engineers
- Ability to condense complex systems and ideas into simple-to-understand models
- Proactive mindset with the ability to take work beyond analysis and get things done
- Hustler mentality and curiosity to discover novel insights from unstructured datasets
- Experience with data visualisation tools such as Looker, PowerBI, or Tableau, and storytelling ability with data
- Nice to have: Data Engineering or Data Science experience
- Nice to have: Experience with unstructured and big datasets
- Nice to have: Experience with user-facing products and data
- Nice to have: Experience in the financial crime domain balancing risk and supporting customer experience
Responsibilities:
- Collaborate with Product, Engineering, and other Analysts to turn insights into meaningful change for customers and support the mission
- Expose large volumes of data in a meaningful and actionable way for product teams and support other teams in discovering insights in data solutions
- Proactively contribute to, own, create, and track key metrics and results for the product team, keeping them accountable and enthusiastic throughout the quarter
- Support senior and lead analysts by building pipelines, preparing reports, and creating visualisations
- Partner with data scientists and engineers to create new features for financial crime prevention machine learning models and integrate external vendors
- Help make risk assessment models faster and build the framework for managing risk and customer experience
- Drive the discovery phase by scoping new opportunities and suggesting initiatives to reduce financial crime through meaningful insights
Technologies:
- Support
- Looker
- Machine Learning
- Network
- Python
- SQL
- Tableau
- dbt
More:
We are Wise, a global technology company on a mission to build the best way to move and manage the worlds money. We are creating an entirely new network for the worlds money so people and businesses can send, spend, and receive money internationally with more ease and lower fees. You will join our Financial Crime Platform team, working closely with our Financial Crime and KYC Product teams to help protect Wise against financial crime while supporting a smooth customer experience. You will also be part of a wider community of 300+ Analysts, with opportunities for cross-team collaboration, knowledge sharing, and contributing ideas to improve analytics across Wise. We are proud of our diverse, equitable, and inclusive international team and offer a collaborative environment where every Wiser feels respected, empowered, and able to grow.
last updated 36 week of 2026
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Lead Product Analyst - London employer: Wise
Wise is an exceptional employer that fosters a culture of inclusivity and innovation, making it an ideal place for a Lead ML / Data Scientist to thrive. With a hybrid working model, generous personal development budgets, and a commitment to employee growth, you will have the flexibility and resources to excel in your role while contributing to meaningful projects that redefine how money moves globally.
