Lead Product Analyst - Onboarding

• Compensation: GBP 75,000 - GBP 100,000 - yearly

Wise is a global technology company, building the best way to move and manage the world’s money.
Min fees. Max ease. Full speed.

Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money.

As part of our team, you will be helping us create an entirely new network for the world's money.
For everyone, everywhere.

We’re looking for a Lead Product Analyst (Individual Contributor) to join the Onboarding squad and the Account Access & Recovery team. The team owns key core flows helping guide users as they register, access and recover their Wise account.

As a Lead Product Analyst, your mission will be to deeply understand the needs of our customers as they register to Wise for the first time and/or need to access their account, partner with your cross-functional team to solve the most critical pain points they are facing, drive strategy and growth by providing data driven insights and recommendations. This would mean finding the right balance and friction to deflect bad actors whilst providing legitimate users with a good experience.

In this role, you will also have a unique opportunity to work across a horizontal team and collaborate with other domains like Onboarding, Fincrime, Finance, Product verticals and so on.

For more information on our Analytics Career Map and levelling structure,  .

WHAT YOU’LL BE DOING:

Derive actionable insights from data to inform product decisions, to help support and improve onboarding and access to Wise for new and existing customers.

Partnering with your product manager, engineers and designers throughout the product development lifecycle to build and iterate product changes based on your insights.

Evaluate high impact areas of opportunity, find ways to support & accelerate, or identify and advocate for better alternatives.

Build automated data pipelines and dashboards to minimise repetitive tasks and allow data self‑serve.

Help your team understand their progress and communicate this outside of your team by defining and reporting on KPIs that measure what matters.

Collaborate with cross functional teams to identify and prioritise opportunities for AI‑driven automation and insight generation.

WHAT YOU’LL BRING:

You have strong quantitative skills with hands‑on data manipulation and analysis, advanced SQL skills and experience working with data pipelines.

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

You have experience working with data visualisation tools (Looker, Power

BI, Tableau etc.) and Python/R.

You have the ability to derive actionable insights from data to inform product decisions, from improving our onboarding flow to reducing friction and saving costs.

Creative problem‑solving skills and an ability to prioritise in a fast‑paced environment.

Leverage AI tools and machine learning techniques to improve analytics outcomes and discover new, critical insights.

NICE TO HAVE BUT NOT ESSENTIAL:

Knowledge of the Fin Tech ecosystem.

Knowledge of the Fraud and Authentication space.

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.

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