Wise Offices

Hybrid Workplace

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.

Typical time on-site: Flexible

Global Office Locations

London

London

Our central London office at Worship Square in Shoreditch is a dynamic, full-stack hub. Teams across Engineering, Product, and Operations work side by side to design, build, and ship products globally. Wise offers a rare level of trust and ownership, accelerating your career impact.

Recently posted jobs

YesterdaySaved
Hybrid
London, England, GBR
Fintech • Mobile • Payments • Software • Financial Services
Build and operate Wise’s global cloud-based database platform, automation, and tooling. Responsibilities include designing scalable infrastructure, developing migration and recovery strategies, embedding security controls, improving reliability, leading incident response, mentoring engineers, influencing roadmaps, and supporting on-call operations. The role requires strong platform engineering, cloud infrastructure, Python, DevOps tooling, and distributed database expertise, with YugabyteDB experience preferred.
2 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Fintech • Mobile • Payments • Software • Financial Services
Lead data science initiatives for KYC and customer onboarding, developing and managing machine learning systems for document verification. Responsibilities include building image and tabular datasets, iterating deep learning models, evaluating and optimizing performance, maintaining Python code, researching fraud-prevention approaches, collaborating with cross-functional teams, communicating technical insights, and mentoring junior data scientists.
2 Days AgoSaved
Hybrid
London, Greater London, England, GBR
Fintech • Mobile • Payments • Software • Financial Services
Own marketing analytics reporting and infrastructure that explain growth drivers and identify high-value opportunities. Develop automated insights, Marketing Financials tooling, Lightdash reports, Streamlit applications, semantic layers, impact calculations, and AI-enabled workflows. Partner with marketing, analytics, product, and regional teams to convert insights into execution, while improving prioritization, collaboration, data quality, and analytics team processes.