Wise

About the Company

Wise is a global technology company, building the best way to move money around the world.

With the Wise account 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 cross-border payments network that will one day power money without borders for everyone, everywhere. However you use the platform, Wise is on a mission to make your life easier and save you money.

Co-founded by Kristo Käärmann and Taavet Hinrikus, Wise launched in 2011 under its original name TransferWise. It is one of the world’s fastest growing, profitable technology companies and is listed on the London Stock Exchange under the ticker, WISE.

16 million people and businesses use Wise globally, which processes £9 billion in cross-border transactions every month, saving customers around £1.5 billion a year.

For customer queries: Please note that LinkedIn is not a Wise Customer Support channel. If you would like to hear from our Customer Support team, please see our Facebook, Twitter and Instagram pages.

Login to access customer support: https://wise.com/login/
FB: https://www.facebook.com/Wise/
IG:https://www.instagram.com/wiseaccount/
TW:https://twitter.com/home

Listed Jobs

Company Name

Wise

Job Title

Senior Commercial Analyst - WISE Platform

Job Description

**Job Title:** Senior Commercial Analyst – Wise Platform **Role Summary:** Drive growth and operational excellence for Wise Platform’s commercial and delivery teams by transforming complex data into actionable insights. Build scalable reporting solutions, define and monitor key performance indicators, and empower sales, pre‑sales, and implementation stakeholders with analytics that shorten the sales cycle, improve win rates, and accelerate time to revenue. **Expactations:** - Deliver high‑impact, data‑driven solutions that improve team efficiency and effectiveness. - Own analytics projects from data ingestion to insight delivery, collaborating with cross‑functional stakeholders to unblock initiatives. - Translate analytical findings into clear, persuasive commercial narratives that influence strategy and decision‑making. **Key Responsibilities:** - Design, develop, and maintain reporting models, dashboards, and data products in SQL, Snowflake, dbt, Looker, and related tools. - Define, track, and report on KPIs for sales pipeline health, deal velocity, stage conversion rates, win/loss analysis, resource allocation, and implementation success metrics. - Lead analysis of sales representative performance against quotas and identify top performers and improvement areas. - Monitor pre‑sales engagement, quantify impact on deal progression, and assess resource utilization. - Track implementation lifecycle metrics, predict risks/opportunities, and recommend process improvements. - Collaborate with forecasting analysts to enhance revenue and partner performance forecasting. - Work with commercial and delivery teams to shape data storytelling, scenario modelling, and opportunity sizing for partner acquisition. **Required Skills:** - Advanced SQL proficiency and experience with data pipelines (Snowflake, dbt, Airflow, Git). - Python programming for data manipulation and automation. - Expertise in Looker or similar BI tools for dashboard design and data visualization. - Strong analytical thinking, with ability to model forecasts, perform scenario analysis, and interpret large datasets. - Commercial acumen: translate analytics into business impact, understand B2B sales cycles, negotiating stakeholder priorities. - Project ownership: manage end‑to‑end analytics initiatives, deliver on deadlines, and influence cross‑functional stakeholders. **Required Education & Certifications:** - Bachelor’s degree in Business, Finance, Economics, Computer Science, or related field. - Professional certifications in data analytics (e.g., SnowPro, Looker Data Analytics, or similar) preferred but not mandatory. - 3+ years of analytics experience in high‑growth B2B tech environment, with direct interaction with commercial teams.

London, United kingdom

On site

Senior

14-11-2025

Company Name

Wise

Job Title

Internal Audit Technology Lead

Job Description

**Job title** Internal Audit Technology Lead **Role Summary** Lead the technology audit function for a global fintech, supporting the Head of IT Audit in managing the group‑wide technology risk portfolio. Drive implementation of the assurance framework, continuous audit automation, and regulatory compliance across all regions. **Expectations** - Own the technology audit strategy and execution from planning through reporting. - Build and maintain strong stakeholder relationships at all levels, including executive and regulatory bodies. - Deliver high‑quality, timely audits that align with internal policies, external regulatory and attestation requirements. **Key Responsibilities** - Develop and operate the technology internal audit framework, including continuous and automated audit routines. - Build and oversee the IT audit universe, ensuring coverage of internal standards, regulatory requirements, and payment‑scheme attestations. - Collaborate with regional IA leads to formulate an annual audit plan with optimal coverage and efficiency. - Advise on technology‑related regulatory compliance, operational resilience, data privacy, and external payment scheme requirements. - Scale the IT audit team and operations to match company growth, leveraging data‑driven and continuous auditing approaches. - Manage audit engagements, ensuring on‑time completion, quality standards, and clear reporting to group and regional oversight committees. - Respond to RFIs from regulators and third parties across all jurisdictions. **Required Skills** - Deep expertise in technology risk, controls, and regulatory compliance, especially in public cloud (AWS, GCP, Azure). - Strong audit planning, staffing, delivery, and reporting experience across multiple engagements. - Ability to interpret complex technology‑risk regulations and translate them into assurance activities. - Excellent coordination, project management, and change‑management skills. - Proven ability to influence and build relationships at executive and regulatory levels. - Experience with continuous auditing, automation, and data‑driven risk assessment methods. - Multinational, cross‑cultural operational experience. **Required Education & Certifications** - Professional certification in CIA, CISA, CRISC, CISSP, CPA, or equivalent. - Relevant degree in Accounting, Finance, Information Systems, or related field.

London, United kingdom

On site

Senior

27-11-2025

Company Name

Wise

Job Title

Senior Product Manager - Machine Learning and AI

Job Description

**Job Title** Senior Product Manager – Machine Learning and AI **Role Summary** Lead the design, launch, and scale of internal ML/GenAI platform tools that enable rapid, secure AI adoption across the organization. Bridge product vision with engineering execution, optimizing time‑to‑production, governance, cost, and performance while ensuring compliance and data privacy. **Expectations** - Own product roadmap and deliverables within the ML/GenAI domain. - Drive high‑impact adoption by removing friction for cross‑functional teams. - Balance speed with robust risk and privacy controls. - Mentor and coordinate within multi‑disciplinary squads. **Key Responsibilities** - Identify and resolve adoption bottlenecks through data analysis, prototyping, and experimentation with Sagemaker, MLflow, Ray, or Bedrock. - Prototype and validate feature roadmaps using SQL analytics, rapid prototyping, and A/B testing. - Define success metrics, build dashboards, and report model performance versus business impact. - Design and implement governance frameworks for experimentation, risk assessment, and privacy compliance. - Collaborate with security to deploy model monitoring, access controls, and privacy safeguards. - Develop cost‑optimization strategies that reduce ML infrastructure spend without limiting usage. - Conduct vendor assessments and ROI analysis for AI tool selection. - Define scalable architecture solutions (feature stores, multi‑cloud inference) in partnership with engineering. - Build self‑service tools, documentation, and reusable components to enable 10× more teams to adopt AI. **Required Skills** - Proven experience as a technical product manager in AI/ML or data‑product roles. - Strong technical fluency with ML pipelines, cloud services, and data engineering. - Experience with SageMaker, MLflow, Ray, Bedrock, or equivalent platforms. - Ability to craft governance and compliance frameworks for AI. - Data‑driven decision making: SQL, analytics, dashboards. - Excellent stakeholder communication, influencing, and cross‑functional collaboration. - Familiarity with cost modeling and budget optimization for ML operations. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field. - Relevant certifications (e.g., TensorFlow, AWS Certified ML, or similar) are a plus.

London, United kingdom

On site

Senior

04-12-2025

Company Name

Wise

Job Title

Engineer IC3

Job Description

**Job Title:** Engineer IC3 **Role Summary:** Design, build, and maintain scalable, secure embedded finance solutions that enable partners to integrate seamlessly with a global payments platform. Own the full lifecycle of features—from requirement analysis through delivery, testing, and post‑launch support—while collaborating cross‑functionally with product, backend, and frontend teams. **Expectations:** - Deliver high‑quality, production‑ready code that meets availability, security, and performance targets. - Mentor junior engineers and promote best practices through code reviews and design discussions. - Drive technical decisions that align with product strategy and long‑term platform scalability. **Key Responsibilities:** - Develop hosted, embeddable components and partner portals for onboarding and integration. - Work with backend and frontend teams to extend platform capabilities and refine APIs. - Participate in product road‑mapping and strategy sessions with product management. - Automate deployments, monitoring, and testing pipelines to enhance release speed and reliability. - Advocate and enforce coding standards, architecture guidelines, and security policies. **Required Skills:** - Strong proficiency in backend languages (e.g., Go, Java, Node.js) and experience building microservices. - Deep knowledge of RESTful APIs, GraphQL, and authentication/authorization flows. - Experience with cloud platforms (AWS/GCP/Azure), CI/CD, container orchestration (K8s), and infrastructure‑as‑code. - Familiarity with performance tuning, observability, and secure coding practices. - Excellent problem‑solving skills, ability to abstract complex requirements, and drive end‑to‑end solutions. - Effective communication and collaboration with cross‑functional teams; mentoring mindset. **Required Education & Certifications:** - Bachelor’s (or higher) degree in Computer Science, Engineering, or related field, or equivalent professional experience. - 3+ years in a software engineering role focused on large‑scale, production‑grade services (preferred).

London, United kingdom

On site

07-12-2025