Staff Researcher - Regional Experience (London)

Staff Researcher - Regional Experience (London)

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
Wise

At a Glance

  • Tasks: Join Wise as a Staff Researcher, shaping products for global customers through impactful research.
  • Company: Wise is a global tech company revolutionising money management with low fees and high speed.
  • Benefits: Diverse and inclusive culture, career growth opportunities, and a chance to make a real difference.
  • Other info: Join a vibrant team of 20+ researchers and thrive in a dynamic, fast-paced environment.
  • Why this job: Be part of a mission to create a fair financial system for everyone, everywhere.
  • Qualifications: Experience in research, strong communication skills, and ability to influence product development.

The predicted salary is between 60000 - 80000 £ per year.

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.

We're looking for a Staff Researcher to join the Regional Experience team in London. You'll be part of Wise's global mission to build an open and fair financial system.

Your mission:

  • Join our Regional tribe, focusing on Growth in North America and APAC markets.
  • Work with cross-functional teams to understand customer needs and behaviours in these regions.
  • Help shape the products and services we build for them.
  • Find ways to scale how we evaluate Wise products before rolling them out to more markets across the world.
  • Ensure that those products meet the expectations of Wise’s customers all over the world.

As a Staff Researcher, you'll contribute by:

  • Setting priorities and research direction - proactively prioritise your work, understanding how the work connects to squad and business goals.
  • Demonstrating strong craft and capabilities - lead by example when it comes to complex evaluative research.
  • Scaling international research - engage with vendors and agencies to scale evaluative research across our various APAC and North American markets.
  • Articulating strategy - clearly communicate research strategy to the team and key stakeholders.
  • Driving impact through your work - leverage your research insights to actively shape what our product looks like today and where it should be headed in the future.
  • Influencing senior leaders - skilfully negotiate with teams, squads and senior leaders across the organisation.
  • Leading with guts - set ambitious goals and hold yourself to them.
  • Using modern tools thoughtfully - leverage AI and emerging tools where they help accelerate research delivery and impact.

A bit about you…

Research excellence:

  • Deep experience with research democratisation and setting up practices and processes.
  • Strong judgment in choosing the right research approach for different levels of ambiguity and complexity.
  • Skilled at building decision confidence through well-designed studies and clear evidence.
  • Expert at connecting user evidence to business outcomes that drive action.
  • Proven track record of scaling research influence across teams and senior stakeholders.
  • Experience with mixed-method studies and modern research tools.
  • Able to guide teams on actioning insights and work closely with designers.
  • Top-notch presentation and storytelling skills.

Research operations competencies:

  • Experience building iterative and repeatable evaluative research practices and/or programs.
  • Proven ability to identify bottlenecks in research processes.
  • Track record of engaging with external agencies and vendors to conduct research.

Strategic impact:

  • Able to articulate research strategy and positively influence squad and team focus.
  • Deep understanding of how research connects to team, squad and business goals.
  • Examples of mentoring non-researchers in conducting quality research.

As a heads up, this role probably isn't for you if:

  • Your experience is primarily market research and/or academia.
  • You haven’t conducted any international research or worked with external agencies.
  • You're not comfortable navigating the complexity of overseeing multiple product areas in a fast-paced environment.

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.

Wise

Contact Details:

Wise Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Staff Researcher - Regional Experience (London)

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Apply Directly through Our Website

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We think you need these skills to ace Staff Researcher - Regional Experience (London)

Research Democratisation
Evaluative Research
Cross-Functional Collaboration
Customer Needs Analysis
Mixed-Method Studies
AI Utilisation in Research
Presentation Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Wise, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wise. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Wise

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

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Prepare for Case Studies

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