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Wise

Lead Product Analyst - Send

London
£75k – £115k/yr
Posted about 13 hours ago
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Company Description

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.

Job Description

More about our mission and what we offer.

The 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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

Qualifications

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.

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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.

Additional Information

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.

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“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Data Analysis
SQL
Python
A/B Testing
Causal Analysis
KPI Setting
Stakeholder Management
First Principles Thinking
AI
Machine Learning
Predictive Models
FinTech Knowledge

Location

London, England, United Kingdom

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