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 DescriptionWe are looking for a Senior Data Analytics Manager to lead analytics for the Americas Compliance Analytics branch of the Compliance & Internal Audit Analytics team at Wise.
You’ll partner with 2nd line Compliance in North America and Latin America to ensure they can execute against the Compliance regulatory reporting schedule, as well as leveraging data to proactively monitor risks. You’ll lead a team of 3-4 analysts, so your time will be split between hands-on work (40%) and leadership responsibilities (60%).
The Compliance Analytics team supports Compliance by using analytics to provide more coverage, efficiency and accuracy to testing and monitoring, as well as building innovative tools and using automation to support regulatory reporting and other Compliance activities.
WHAT YOU’LL BE DOING
Partnering with stakeholders across the Compliance function covering all regions, products and domains of the business (including Financial Crime, Ops, Risk, Finance and IT)
Taking ownership of the engagement model between analytics and Compliance for delivering regulatory reporting and moving towards building automated pipelines for recurring reports
Identifying & implementing opportunities to do the most impactful analytics within testing projects and influencing and upskilling your partners in Compliance to do the same
Defining and tracking KPIs to measure the team’s success and impact
Championing innovation and data-driven insights across all Compliance activities where analytics can add value
Leading automation and tooling projects to increase efficiency across Compliance
5+ years of experience in data analytics
2+ years of experience building, coaching and leading analysts
Advanced stakeholder management skills; you know how to leverage multiple different teams to deliver high-impact change
Extensive experience using SQL; you can build and maintain complex data sources and can leverage visualisation tools (Looker, Superset, etc) to surface insights
You have built reporting outputs, creating advanced SQL scripts based on requirements communicated by stakeholders
Experience using data engineering tools (GitHub, dbt, Airflow etc.) to transform messy data into clean and efficient pipelines and you know how to produce comprehensive data documentation
You understand the importance of data integrity, quality & governance. You know how to produce comprehensive data documentation
Meticulous & disciplined approach towards accuracy of data outputs
You are able to prioritise your own and your team’s work and independently manage competing priorities
You can contribute your own ideas to influence the team’s strategic roadmap
NICE TO HAVE BUT NOT ESSENTIAL
Experience in Compliance analytics testing or Internal Audit analytics
Experience using dbt
Knowledge of Python
Financial services experience
Experience in regulatory reporting and monitoring controls or controls assurance
Experience using AI tools
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.
Skills Required
- 5+ years of experience in data analytics
- 2+ years of experience building, coaching, and leading analysts
- Advanced stakeholder management skills
- Extensive experience using SQL
- Experience building and maintaining complex data sources
- Experience using visualization tools such as Looker or Superset
- Experience creating advanced SQL reporting scripts from stakeholder requirements
- Experience using data engineering tools such as GitHub, dbt, or Airflow
- Ability to transform messy data into clean, efficient pipelines
- Ability to produce comprehensive data documentation
- Understanding of data integrity, quality, and governance
- Meticulous and disciplined approach to data accuracy
- Ability to prioritize individual and team workloads independently
- Ability to contribute ideas and influence strategic roadmaps
- Experience in compliance analytics testing or internal audit analytics
- Experience using dbt
- Knowledge of Python
- Financial services experience
- Experience in regulatory reporting and monitoring controls or controls assurance
- Experience using AI tools
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.
