At a Glance
- Tasks: Lead a dynamic analytics team to drive strategic insights and product innovation.
- Company: Join Wise, a global tech company revolutionising money management.
- Benefits: Competitive salary, inclusive culture, and opportunities for career growth.
- Other info: Diverse and inclusive team environment with a focus on personal growth.
- Why this job: Make a real impact on the future of banking and money movement.
- Qualifications: Proven experience in analytics leadership and strategic development.
The predicted salary is between 100000 - 150000 £ 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 Senior Director of Analytics to lead the Money Movement Chapter—the primary engine behind Wise’s mission to replace legacy banks for international people and businesses while ensuring the best cross border transfer experience. Our goal is bold: Make Wise the last account you’ll ever need to open. We have moved beyond simple transfers to build a world-class banking alternative. By integrating our foundational Send business with a comprehensive Account ecosystem, we ensure that whether our customers are Sending, Spending, Receiving, or Growing their money, Wise is their primary everyday platform.
In this high-leverage leadership position, you will oversee a scaled organisation of 25 analysts and 4 managers. This role sits at the critical intersection of product innovation and our global financial engine. As a trusted partner to senior leadership, you will combine market context with deep data insights to drive major strategic pivots, ensuring Analytics remains a central pillar of our product strategy during a period of cross-functional leadership transformation.
The Money Movement Chapter includes:
- The Send Business: Optimising the core engine that moved £84bn in just six months. You will drive Mission Zero by identifying efficiencies in liquidity and routing to lower fees, making sending £500k as natural as sending £5.
- The Account Ecosystem: Building the "Primary Account" infrastructure that replaces a customer's local bank. You'll lead analytics across five top-level teams.
WHAT YOU'LL DO:
- Partner with Product and senior leadership across Send, Spend, Receive and Grow to define product and growth strategy.
- Lead, coach and develop a high-performing, distributed analytics team.
- Collaborate with and influence cross-functional partners (Product, Engineering, Design, Research).
- Own the OKR and KPI framework for Core.
- Identify structural blockers and delivery risks across teams.
- Champion the build of scalable, automated data pipelines and BI infrastructure.
- Lead and coordinate cross-pillar analytics initiatives.
- Serve as a senior voice for Analytics at Wise.
WHAT YOU'LL BRING:
- A proven technical background in analytics.
- 4+ years of experience leading and developing analytics teams.
- Proven experience developing and implementing strategy across a broad business area.
- Strong collaborative instincts.
- Comfortable operating at Director level.
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.
Senior Director of Analytics - Core in London employer: Wise
Wise is an exceptional employer that prioritises the well-being and professional growth of its employees. With a dynamic work culture that fosters innovation and collaboration, team members are encouraged to develop their skills while contributing to meaningful resilience strategies on a global scale. Located in a vibrant city, Wise offers competitive benefits and unique opportunities for career advancement, making it an ideal place for those seeking a rewarding and impactful career.
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We think this is how you could land Senior Director of Analytics - Core in London
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We think you need these skills to ace Senior Director of Analytics - Core in London
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!
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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!
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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
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
