Job Description

Here’s how you’ll be contributing to the Servicing Platform team:

• You’ll expose the vast data on our processes to the product teams across Wise in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance

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

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

• Work with data scientist in coming up with new features for fincrime preventing Machine Learning models and integrating with external vendors

• 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

• The role requires collaboration with Product, Engineering and other Analysts.

This role will give you the opportunity to: 

• Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money

• Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!

• Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.

• Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.

Qualifications

A bit about you: 

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

• You have extensive experience with SQL, (ideally) dbt and good to have Python too. When we say vast amounts of data we are not joking. The biggest challenges you will face is on how to efficiently code your queries and ETLs. Our services generate more than 100 millions rows a day.

• You have strong communication skills and an ability to translate business and engineering problems into analytical solutions.

• You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, 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.

• You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data

• You have 2-4 YOE analysing data in a professional setting

Some extra skills that are great (but not essential): 

• Experience with user-facing products and data

• Experience in fincrime domain balancing risk and customer experience

• Machine learning experience

• Analytics/Data Engineering experience

Additional Information

Key benefits:

• Hybrid working model

• 25 days Paid Annual holiday + 3 Me Days

• 15 Sick Days

• Mobile Wiser- Work abroad for up to 90 days of the year

• 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave

For everyone, everywhere. We're people building money without borders  — without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.

We're proud to have a truly international team, and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected, empowered to contribute towards our mission and able to progress in their careers.

If you want to find out more about what it's like to work at Wise visit Wise.Jobs.

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