National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Analyst - Finance & Treasury

Wise
London
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst | Cambridge | Fintech

Senior Data Analyst

Senior Data Analyst

Senior Data Analyst

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 life 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 .

Job Description

Your Mission:

At Wise, we’ve got a clear mission — money without borders. Built by and for people who live global lives. As a FinTech company moving billions of GBP of customer money in over 70 countries, Wise needs bulletproof financials & insights into the growth of the company. We need timely, accurate and scalable financial data to make accurate business decisions inside the company.

Due to continued and rapid growth we’re on the hunt for a Data Analyst to join our Growth and Strategic Finance Team in Shoreditch, London. You’ll be part of the team that helps pilot the rocket ship.

What you’ll be doing:

Your principal responsibility will be to make an impact and lead us to better decisions for the company and our customers

Curating datasets, surfacing metrics, some statistical modelling, and deeper dive analysis that we expect to influence the direction of the team and the company

Depending on the project you’re working on, you’ll doing the following:

Helping us understand what’s driving our growth at a company level

Helping us analyse how we’re generating costs and helping our teams come up with strategic plans to drive them down (this is very central to our Mission) 

Helping us develop better pricing strategies so that we can incentivise the right behaviour internally, and also encourage our growth

Who you are:

Strong analytical ability

Intermediate to advanced SQL skills

2-6 years experience in similar roles 

Data visualisation and storytelling ability

Ability to self organise and manage stakeholders

Demonstration of impact/going above and beyond basic role requirements

Python/R

Understanding of stats and statistical modelling (measures of central tendency, understanding of variance and testing, some regression modelling)

Mathematical background

Desirable:

DBT

Data modelling in a warehouse context

Understanding of testing and experimental design

Legally authorised to work in the UK

Some important stuff we would like you to know

To meet our regulatory obligations as a licensed financial services company, Wise needs to conduct background checks on all new hires, which in the Finance team includes Criminal and Credit checks. Please discuss with the Recruiter if you have any concerns regarding this process.

Additional Information

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 .

Keep up to date with life at Wise by following us on and .

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.