Staff Analyst - Servicing

We’re looking for a Product Staff Analyst to join Servicing and start their journey helping the Servicing Platform team and partner with our Financial Crime and KYC Product teams to ensure we are making data-driven and innovative growth decisions while helping to combat financial crime. Servicing (Financial Crime) Platform is our internal risk infrastructure tool that unifies customer onboarding and transaction monitoring controls, ensuring Wise is protected against financial crime and meets regulatory requirements and standards.

Your Mission

You will lead our analytics efforts in the Servicing Platform product team that balances the work between preventing financial crime and enabling a smooth customer experience. This is a great opportunity for a Product Analyst that thrives solving technical challenges, or an Analytics Engineer that wants to be closer to business problems and product outcomes. You’ll also be part of a wider team of 150+ Analysts that you’ll get to collaborate with on cross-team projects, have knowledge sharing sessions and bring ideas on how we can improve analytics across Wise.

This is an IC4 role, but we are open for current top IC3s ready for their next challenge that would springboard them into IC4. For more information on our Analytics Career Map and levelling structure, click here.

What You'll Be Doing

• 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 roadmaps, coordinate across analysts and engineers, and track progress on more complex strategical projects spanning multiple quarters to a year
• 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 Scams on Wise through meaningful insights

What You'll Bring

• 7+ years of experience in data analytics
• You have extensive experience with SQL, dbt (ideally) and Python. 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
• You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data

It Would Be Nice But Not essential If You Have

• Analytics/Data Engineering experience
• Experience with unstructured datasets
• Experience with user-facing products and data
• Experience in fincrime domain balancing risk and supporting customer experience