
Hybrid opportunity at
WiseLead Product Analyst - Send
Wise is hiring a full-time Lead Product Analyst for the Send tribe in London. The role is hybrid, and the posting gives a salary range of…
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About This Role
Wise is hiring a full-time Lead Product Analyst for the Send tribe in London. The role is hybrid, and the posting gives a salary range of £75,000 to £115,000, plus company restricted stock units. The role supports High Volume customers, who have the most complex transfer needs and depend most heavily on Wise getting transfers right. The analyst's mission is to understand what these customers need, pinpoint the friction points…
Job Description
Wise is hiring a full-time Lead Product Analyst for the Send tribe in London. The role is hybrid, and the posting gives a salary range of £75,000 to £115,000, plus company restricted stock units. The role supports High Volume customers, who have the most complex transfer needs and depend most heavily on Wise getting transfers right.
The analyst's mission is to understand what these customers need, pinpoint the friction points in their journey, and steer the team toward its most critical challenges. The role owns two problem areas. The first is verification and predictability, where the analyst generates insight and tracks impact to clarify documentation requirements and reduce friction in the verification process. The second is service quality, where the analyst examines response times and service standards, helps define how support operations should scale, and identifies customer segments that need more specialised attention to prevent churn. Predictability is treated as a route to growth, because a more reliable product and a more efficient service improve retention and open up further growth. The analyst also helps the team look ahead and decide what to work on next.
The posting asks for five or more years in analytical roles, with strong SQL and Python skills. Hands-on experience with controlled experiments and causal analysis to measure the effect of product changes is expected, as is a track record working alongside PMs and analysts to define KPIs and track how features affect conversion, stickiness and engagement. Candidates should be persuasive stakeholder managers, knowing when to accept or decline requests, with a bias for action, and able to structure an open-ended problem from first principles. Experience with Airflow, dbt and Looker, applied machine learning, and knowledge of the fintech ecosystem are welcome but not essential.
Responsibilities
- Generate insight and track the impact of changes to how transfers are verified
- Clarify documentation requirements and remove friction from verification
- Analyse response times and service quality for High Volume customers
- Help define how support operations scale
- Identify customer segments that need specialised attention to prevent churn
- Advise the team on which opportunities to pursue next
Requirements
- Five or more years in analytical roles with strong SQL and Python skills
- Hands-on experience with controlled experiments and causal analysis
- Track record of defining KPIs with PMs and analysts
- Strong stakeholder management and influence
- Bias for action and first-principles problem solving
Qualifications
- Experience with Airflow, dbt and Looker (nice to have)
- Applied AI or machine learning, including predictive models (nice to have)
- Knowledge of the fintech ecosystem (nice to have)
Core Skills
Benefits
- Restricted stock units (RSUs)
- Hybrid working
- Annual holiday allowance, sick leave, parental leave and other leave types
- Six weeks of paid sabbatical after four years, in addition to annual leave
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located?
The role is based in London and is hybrid.
What is the salary range?
The posting gives a salary range of £75,000 to £115,000, plus company restricted stock units.
What experience is required?
The posting asks for five or more years in analytical roles, with strong SQL and Python skills and hands-on experiment work.
What is the employment type?
The role is full-time.
Sample Interview Questions
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