Senior Data Analyst - Regulatory Reporting
Wise•3h ago
United KingdomOnsite£60K–£85KFull-timeSenior Level5+ yrs exp
Top focus
Data AnalystSenior Data AnalystVp Data
- 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
- 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 .
- We're looking for a Senior Data Analyst - Regulatory Reporting (IC2) to join the team in London. This is a high-impact role where your work directly enables Wise to operate and grow in regulated markets worldwide. You'll own the end-to-end lifecycle of regulatory reporting datasets — from understanding regulations and mapping them to internal data, through building and automating pipelines, to delivering clear visualisations and insights to stakeholders. You'll work at the intersection of finance, compliance
- data engineering, collaborating with teams across the business to ensure our reporting keeps pace with regulatory demands, Wise's growth and expansion
- its evolving data infrastructure. This is a role for someone who combines strong technical skills, clear communication
- a drive to deeply understand the regulatory landscape and Wise's products. You'll translate that understanding into data — building things that are robust, scalable, efficient
- trusted. Wise's Regulatory Reporting Analytics team builds and maintains the data infrastructure that underpins our regulatory obligations across multiple jurisdictions. We ensure that reporting datasets are accurate, automated
- scalable — enabling Wise to obtain and retain operating licenses while meeting audit and partnership requirements. This team plays a critical role in: - Powering regulatory compliance across Wise's legal entities. - Supporting controlled growth and expansion by onboarding new entities, features
- regulations into regulatory deliverables. - Contributing to controlled and accurate finance data through data quality checks. - Fuelling operational efficiency through automation. What you’ll be doing: - Build and maintain accurate, efficient reporting datasets to meet regulatory requirements critical to obtaining and retaining operating licenses across multiple legal entities
- to fulfil our audit and external partnership obligations. - Automate reporting workflows to minimise manual intervention and enable self-service for end users. - Design and build intuitive data visualisations that present periodic summaries, control results, trends
- variances to stakeholders in a clear and accessible way. - Develop robust data quality controls and integrate them into automated reporting workflows alongside monitoring and alerting mechanisms. - Liaise with regulatory, prudential
- financial controllers, as well as regional product, compliance
- banking teams, to develop a thorough understanding of regulations and accurately map them to internal data points. - Collaborate with analytics engineering and analysts across functions to keep pace with evolving data infrastructure and integrate cross-functional attributes into regulatory datasets. - Investigate and drive resolution of complex data discrepancies, stakeholder queries
- internal control findings. - Champion and uphold reporting standards and best practices across the team. - Leverage Wise's tech stack, including modern AI and agentic tools
- stay current with emerging capabilities to improve reporting workflows and team efficiency. Technical skills: - Advanced SQL: Ability to independently build efficient, readable queries spanning data extraction, transformation
- DDL/DML operations. - Hands-on DBT experience, including materialisation strategy trade-offs and data quality testing. - Experience working with a modern data warehouse such as Snowflake. - Comfortable working with high-volume data. - Python proficiency strongly preferred. - Skilled with an orchestration tool such as Airflow. - Proficient with version control, ideally Git and GitHub. - Competent with a data visualisation tool such as Looker, Lightdash
- Superset. - Demonstrable understanding of fundamental accounting principles and financial statements. - Proficient in Excel and similar spreadsheet tools. - Understanding of cloud services, preferably AWS. - Demonstrated use of AI and agentic tools in a professional setting. How you work: - You structure and articulate analysis and investigation findings clearly
- can explain technical content to non-technical stakeholders. - You're comfortable working across functions, prioritising your own workload
- navigating ambiguity. - You have a curious mindset — willing to challenge the status quo and ask questions. - You thrive in a fast-paced environment and bring a continuous improvement mindset. - You're open to learning and adapting as tools and technology evolve. Interested? Find out more: Analytics career framework Fuelling insights for growth' blog post How we work Our Mission 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
- 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 . Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.
- Some of our benefits: 💰Base salary of £60,000 - £85,000 🚀RSU's in a growing and public company 🌎 Work from (almost) anywhere in the world for up to 90 days a year 🏠 Flexible working - you’re trusted to do the right thing and be responsible 🏥 Private Medical Insurance + Life Insurance 🏋️ Discounted gym memberships and cycle to work scheme 🏝️ A paid 6-week sabbatical leave after four years 👶 26 weeks maternity leave at full pay 💪 An annual self-development budget 🚀 Annual Mission Days festival 🐶 Pet friendly offices 🏃♀️ Lots of fun group activities like yoga, running and boardgame nights Find out more about our benefits in our London office. 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
- 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 .
Required skills
SQLDBTSnowflakePythonAirflowGitGitHubLookerLightdashSupersetExcelAWS