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.
More about our mission and what we offer.
Job DescriptionThe Mission
Our High Volume customers have the most complex transfer requirements and rely on us most heavily to get it right. Your mission is to understand exactly what these customers need, pinpoint where their experience breaks down, and help the team focus on solving their most critical challenges.
By bridging the gap between data and product strategy, you will make our product more predictable and build the trust required for customers to move significant capital with ease.
The Problem Spaces You’ll Own
As a Lead Product Analyst within the Send tribe, you will provide the dedicated analytical capacity needed to drive our most critical workstreams, with a focus on:
- Verification & Predictability: Verification is a major investment area for our pod. You will lead insight generation and impact tracking to improve how we verify transfers—specifically clarifying documentation requirements and removing friction from the process. You’ll help us look around the corner to determine what the team should focus on next to make this journey seamless.
- Elevating the Level of Service: Some challenges require more than just an in-product fix. You will analyze how we can improve our response times and service quality to ensure customers feel supported throughout their journey. You will help define the strategy for how we scale our support operations and identify which customer segments require more specialized attention to prevent churn.
- Predictability as a Growth Lever: You will operate on the principle that "To Fix is to Grow." By improving the reliability of our product and the efficiency of our service, you will directly influence customer retention and unlock further growth.
WHAT YOU’LL BRING
Technical Skills: 5+ years experience in analytical roles with strong data analysis skills (SQL & Python). Experience conducting regular A/B tests and causal analyses to determine impact of product changes on defined metrics
KPI Setting: Experience partnering with Product Managers and other Analysts to set KPIs and monitor the impact of new product features on conversion, stickiness and engagement
Influence: Strong stakeholder management skills - you are collaborative, know how to influence and when to say yes or no to maximise impact. You have a bias to action - you identify what needs to be done and make it happen.
First Principles Thinking: You can take an ambiguous, open ended problem, structure it and solve it. Ensuring the team is working on the most impactful opportunities
NICE TO HAVE BUT NOT ESSENTIAL
Experience delivering high quality data and self-serve analytics using tools like Airflow, dbt and Looker.
Practically used + applied AI / machine learning techniques and built predictive models to get deeper insights
Knowledge of the FinTech ecosystem
What do we offer:
Salary: £75,000 - £115,000
Company Restricted Stock Units
Numerous great benefits in our London office
Key benefits:
Hybrid working
Paid annual holiday, sick days, parental leave and other leave opportunities
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.
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Skills Required
- 5+ years of experience in analytical roles
- Strong data analysis skills using SQL and Python
- Experience conducting regular A/B tests and causal analyses
- Experience determining the impact of product changes on defined metrics
- Experience partnering with Product Managers and Analysts to set KPIs
- Experience monitoring product feature impact on conversion, stickiness, and engagement
- Strong stakeholder management and influencing skills
- Ability to structure and solve ambiguous, open-ended problems using first-principles thinking
- Experience delivering high-quality data and self-serve analytics using Airflow, dbt, or Looker
- Practical experience applying AI or machine learning techniques and building predictive models
- Knowledge of the FinTech ecosystem
What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
