Role details
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
Lead FinCrime Analyst - AML Prevention
- We're looking for a FinCrime Analyst 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 AML team is to stay one step ahead of money laundering activities 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!
- This is an IC3 role. For more information on our Analytics Career Map and levelling structure, click here .
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
- 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.
Qualifications
A bit about you:
- You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area
- You have experience with SQL and Python
- 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 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
- You have 4+ YOE analysing data in a professional setting
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 .