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 DescriptionThe Platform Tribe:
We are the driving force behind Wise, making sure everything runs smoothly. We support our engineering teams so they innovate, build and ship great code quickly and confidently. Our expertise spans Data, Machine Learning, Incident and Risk Management, Hardware, and System Efficiency, all designed to foster an unparalleled Engineering Experience.
The Role:
We are seeking an experienced Data Analytics Manager to join our Platform Engineering and Security team. This role is pivotal in shaping how we manage compliance and risk through data. You will play a key role in building robust data pipelines to support continuous control monitoring while using insights to drive strategic opportunities within Wise's secure and compliant framework.
Why Should You Join Our Team?
Data-Driven Impact: You'll have the opportunity to redefine how we approach compliance and risk within the organisation, leveraging data to highlight areas for improvement and efficiency.
Growth and Innovation: Experiment with cutting-edge technology and methodologies in data analytics and engineering, pushing boundaries in various domains.
Supportive Environment: Enjoy a healthy balance of independence and collaboration, backed by a team of dedicated experts across domains for when you need support.
What will you be working on?
Data Engineering → Build and Optimise Pipelines: Develop, optimise, and maintain data pipelines using Python, REST APIs, DBT, and Airflow to ensure seamless data flow for compliance and risk management.
Understanding Control Requirements & Continuous Monitoring: Partner closely with control owners across security domains (such as Access Management, Vulnerability Management, Data Governance, etc.) to translate abstract compliance and testing requirements into concrete, measurable metrics, SLAs, and continuous monitoring dashboards.
Compliance and Risk → Define KPIs: Collaborate with stakeholders to define and refine key performance indicators necessary for monitoring compliance and risk for our IT systems, ensuring data accuracy and relevance.
Opportunity Identification → Insights: Utilise data to identify opportunities for enhancing compliance processes, mitigating risks, and driving higher efficiency throughout the organisation.
A bit about you:
You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area
You have experience with SQL, Python and Data Pipeline building (DBT, Airflow)
You have strong communication skills and an ability to translate business problems into analytical solutions
You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand models
Hustler-mentality. You can take work beyond the analysis and get things done
You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data
You have 5+ YOE analysing data in a professional setting
You have 1+ YOE in managing a small team (>2) analysts.
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.
Skills Required
- Strong quantitative skills and a background in statistics, mathematics, physics, engineering, or another scientific field
- Experience with SQL and Python
- Experience building data pipelines with dbt and Airflow
- Strong communication skills and ability to translate business problems into analytical solutions
- Ability to structure business problems with minimal supervision and prioritize independently
- Ability to simplify complex systems and ideas into understandable models
- Experience with data visualization tools such as Looker, Power BI, or Tableau
- Data storytelling ability
- At least 5 years of professional data analysis experience
- At least 1 year of experience managing a small team of more than two analysts
Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — U.S. materials describe extensive paid leave (PTO, sick time, holidays, “Me Days,” volunteer and compassionate leave) plus a paid six‑week sabbatical after four years. Feedback suggests the time‑off package is a standout element of the offering.
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Parental & Family Support — Benefits information highlights up to 18 weeks of fully paid parental leave in many locations, with clear tenure qualifiers in some markets. Feedback suggests these policies are robust and a notable strength.
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Equity Value & Accessibility — Company and job-posting materials indicate RSUs are a regular part of compensation, with a shift toward RSUs since 2022. Feedback suggests the equity component is a relatively substantial part of total rewards.
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What We Do
Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.
Why Work With Us
We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.
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Wise Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.
