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’re looking for a Senior Analytics manager who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime.
At Wise, we strike a critical balance between user experience and the stringent demands of risk prevention. Our mission within the Risk & Controls team in APAC is to stay one step ahead of emerging risk while ensuring that our customers enjoy a seamless experience. In this vital role, you will innovate and implement controls that enhance security without compromising user convenience.
Most importantly, you’ll collaborate closely with your product managers, designers, data scientists and engineers to bring your insights into real change for our customers and help drive our mission!
Your mission:
At Wise our mission is Money Without Borders - instant, convenient, transparent and eventually free. Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money.
Here’s how you’ll be contributing to the Financial Crime team:
- You’ll expose the vast data on our processes to the product teams across Wise in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance
- Proactively contribute to, own, create, track key metrics and results for your product and operational teams, keeping them accountable throughout the quarter
- Support stakeholders by conducting research, preparing reports, and visualisations
- Work with data scientists in understanding and developing the means for detecting and mitigating financial crime
- Building the framework for managing risk and customer experience at scale
- Drive the discovery phase by scoping new opportunities and suggesting features, rules and models to combat emerging risks
- The role requires collaboration with Product, Data Scientists, Engineering and Operations Team
This role will give you the opportunity to:
- Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money
- Create value from extensive datasets. We have millions of customers, a global set of payment infrastructure and a complex product that customers can use in different ways. There is a tonne of value left to unlock from this data!
- Influence the team’s direction. Analysts at Wise enable data-driven decision making and have a large impact by helping their teams to decide what to work on.
- Learn from a global network of professionals. We have a large, diverse team of analysts, data scientists and product managers that you will work with and learn from.
- Lead and develop a team of 3 analysts: helping them to set priorities, coaching for impact, and maintaining quality standards
A bit about you:
- You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area
- You have experience in financial crime domain (typologies and alert investigations) balancing risk and customer experience
- You have 5+ years of experience in data analytics (in financial crime or risk analytics) and 2+ years leading others (can be overlapping)
- You have experience with SQL and Python/R
- You have strong communication skills and an ability to translate business problems into analytical solutions
- You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently, as well as condense complex systems/ideas into simple-to-understand data models
- Hustler-mentality. You can take work beyond the analysis and get things done
- You have experience with data visualisation tools (Looker, PowerBI, Tableau etc.) and demonstrate storytelling ability with data
Some extra skills that are great (but not essential):
- Experience with user-facing products and data
- Machine learning experience
- Knowledge of regulations, sanctions compliance, and financial crime frameworks
- Knowledge of regulatory reporting requirements and compliance standards
- Knowledge of A/B testing
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, preferably in financial crime or risk analytics
- 2+ years of experience leading others
- Experience in the financial crime domain, including typologies and alert investigations
- Strong quantitative skills and background in statistics, mathematics, physics, engineering, or another scientific discipline
- Experience with SQL and Python or R
- Strong communication skills and ability to translate business problems into analytical solutions
- Ability to structure business problems independently and prioritize effectively
- Experience with data visualization tools such as Looker, Power BI, or Tableau
- Experience with user-facing products and data
- Machine learning experience
- Knowledge of regulations, sanctions compliance, and financial crime frameworks
- Knowledge of regulatory reporting requirements and compliance standards
- Knowledge of A/B testing
What the Team is Saying
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Wise Compensation & Benefits Highlights
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Leave & Time Off Breadth — Global paid time off is presented as 33–36 days including local public holidays, plus three “Me Days,” with a paid six‑week sabbatical and stipend after four years. Work-from-anywhere for up to 90 days per year after six months further complements time away and flexibility.
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Equity Value & Accessibility — RSUs are granted to all employees, enabling broad ownership in the company. Equity is positioned as a standard, company‑wide component of total rewards.
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Parental & Family Support — Parental leave is described as generous across markets, with U.S. pages listing up to 18 weeks fully paid for birthing parents and 8 weeks for non‑birthing parents. Additional family‑oriented supports such as onsite Mother’s Rooms and abortion travel benefits are noted in certain locations.
Wise Insights
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.
