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Wise

Lead Product Analyst - Regional Platform

Posted An Hour Ago
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Hybrid
London, Greater London, England
Mid level
Hybrid
London, Greater London, England
Mid level
As a Lead Product Analyst, you'll collaborate with cross-functional teams, define KPIs, solve problems using data, and ensure quality customer data.
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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.

More about our mission and what we offer.

Job Description

We're hiring a Lead Product Analyst (Individual Contributor) to join our Product Eligibility team in the Regional Platform squad. 

Regional Platform solve global challenges such as building a health framework for our integrations, identifying key bottlenecks in the transfer journey and defining the quality of customer addresses. The goal is to make "Regional Expansion" as simple as a config change.

The Product Eligibility team determines customer locations and allocates them to correct legal entities. This ensures customers can access permitted products, reducing confusion for customers, partners, and regulators. Currently, the team is dedicated to ensuring high-quality address data globally, using third-party validation, LLMs for quality measurement, and classic machine learning techniques to assess location confidence.

This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here.

WHAT YOU’LL BE DOING

  • Collaborating with Product Managers, Engineers, Product Compliance Managers and other cross-functional partners to improve the Wise product

  • Enabling your team to make data-driven decisions and prioritise the most impactful opportunities for our customers

  • Defining KPI’s to guide the team's Product strategy.

  • Finding new, innovative ways of solving problems such as leveraging LLMs to speed up your analysis or improve our product. 

  • Being the primary point of contact for all data related questions and have full ownership of the domain.

Qualifications

WHAT YOU’LL BRING

  • Technical Skills: 5+ years experience in analytical roles with strong data analysis skills. You’re proficient in SQL (with the ability to write clear, performant, and reliable queries) and have knowledge of a scripting language (like Python or R) to automate routine tasks.

  • Problem Solving: You know how to solve ambiguous problems when there is no clear answer and proactively identifies ways to solve bottlenecks and remove blockers. You are laser-focused on the final goal, utilising the 80/20 approach to achieve results efficiently. 

  • Ownership: You enjoy working independently in a fast-paced environment: Identifying impactful opportunities and making them happen, triage requests by impact and focus on the main priorities.

  • Influence: You have strong stakeholder management skills - you are collaborative, you 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.

NICE TO HAVE BUT NOT ESSENTIAL

  • Experience using AI and LLMs to get insights from data and improve the customer experience in product

  • Knowledge of the FinTech ecosystem

  • Experience in software development and/or working closely with software engineers

Additional Information

  • Salary Range: £75,000 - £100,000 (depending on experience and interview performance) 
  • Restricted Stock Units (RSUs)
  • Read more about our full benefits offering here

#LI-CH1

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.

Top Skills

Llms
Machine Learning
Python
R
SQL

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