Senior Data Analyst - Regulatory Reporting

Posted Yesterday
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
60K-85K Annually
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Own end-to-end regulatory reporting datasets: map regulations to internal data, build and automate pipelines, implement data quality controls, create clear visualisations, investigate discrepancies, and partner with cross-functional stakeholders to ensure accurate, auditable reporting.
Summary Generated by Built In
Company Description

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 Description

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, and data engineering, collaborating with teams across the business to ensure our reporting keeps pace with regulatory demands, Wise's growth and expansion, and its evolving data infrastructure.

This is a role for someone who combines strong technical skills, clear communication, and 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, and 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, and 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, and 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, and 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, and 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, and financial controllers, as well as regional product, compliance, and 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, and 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, and 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, and 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, or 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, and can explain technical content to non-technical stakeholders.

- You're comfortable working across functions, prioritising your own workload, and 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, 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.

Please note that Wise does not provide visa sponsorship for this role. Applicants must have the right to work in the UK.

Additional Information

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, 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

  • Advanced SQL for data extraction, transformation, and DDL/DML operations
  • Hands-on DBT experience including materialisation strategies and data quality testing
  • Experience with a modern data warehouse such as Snowflake
  • Comfortable working with high-volume data
  • Skilled with an orchestration tool such as Airflow
  • Competent with a data visualisation tool such as Looker, Lightdash, or Superset
  • Demonstrable understanding of fundamental accounting principles and financial statements
  • Proficient in Excel and similar spreadsheet tools
  • Experience developing automated reporting workflows and data quality controls with monitoring/alerting
  • Demonstrated use of AI and agentic tools in a professional setting
  • Python proficiency
  • Proficient with version control (ideally Git and GitHub)
  • Understanding of cloud services (preferably AWS)
  • Right to work in the UK (no visa sponsorship provided)

What the Team is Saying

Surendra
Smrithi
Pavan
Jennifer
Lindsay
Lauren
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
9,000 Employees
Year Founded: 2011

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.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

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.

Typical time on-site: Flexible
Company Office Image
Brussels
Company Office Image
Austin
Company Office Image
Budapest
Company Office Image
Hydrabad
Company Office Image
Kuala Lumpur
Company Office Image
London
Company Office Image
New York
Company Office Image
São Paulo
Company Office Image
Singapore
Company Office Image
Tallinn
Company Office Image
Tokyo
Learn more

Similar Jobs

Wise Logo Wise

Designer

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
9000 Employees

Wise Logo Wise

Back-end Engineer

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, England, GBR
9000 Employees
68K-88K Annually

Wise Logo Wise

Senior Back-end Engineer

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
9000 Employees
88K-111K Annually

Wise Logo Wise

Implementation Lead - Wise Platform

Fintech • Mobile • Payments • Software • Financial Services
Hybrid
London, Greater London, England, GBR
9000 Employees

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account