Lead Product Analyst

Collaborating with Product, Engineering and other Analysts to bring your insights into real change for our customers and help us work towards our mission

You’ll expose the vast amounts of data available to our product teams in a meaningful and actionable way and support other teams in discovering insights in our data solutions

Proactively contribute to, own, create, track key metrics and results for your product team, keeping them accountable and enthusiastic throughout the quarter

Support senior and lead analysts by building pipelines, preparing reports, and visualisations

Partner with data scientists and engineers to create new features for FinCrime prevention Machine Learning models and integrate with external vendors, and make our risk assessment models faster.

Building the framework for managing risk and customer experience

Drive the discovery phase by scoping new opportunities and suggesting initiatives to reduce financial crime on Wise through meaningful insights

5+ years of experience in data analytics

2+ years of experience in advanced analytics and statistical techniques

You have extensive experience with SQL, dbt (ideally) and Python/R. The biggest challenges you will face is how to scale and productionise efficiently your code, models and ETLs. When we say vast amounts of data we are not joking, our services generate more than 100 millions rows a day

You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, computing, or other scientific area

Strong communication skills and an ability to translate business and engineering problems into analytical solutions while being sensitive to the customer’s needs

You have an ability to structure business problems with minimal supervision and an ability to prioritise problems collaboratively with PMs and Engineers, as well as condense complex systems/ideas into simple-to-understand models

Be proactive. You can take work beyond the analysis and get things done. Your curiosity will drive you to discover novel insights from our unstructured datasets