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WISE

Lead Product Analyst - AML Handling

Posted 15 Days Ago
Be an Early Applicant
Hybrid
London, England
Mid level
Hybrid
London, England
Mid level
You will analyze data to support financial crime prevention, enhance user experience, and develop processes with product and engineering teams.
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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

About this role: 

Lead FinCrime Analyst - AML Handling

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!

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 scientist in understanding and developing use cases for automation, including the use of LLMs, within current investigation and reporting processes
  • Building the framework for managing risk and customer experience at scale

  • Drive the discovery phase by scoping new opportunities and suggesting initiatives to improve our investigation tooling and processes

  • 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

  • You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area 

  • 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 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

  • 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

Additional Information

  • Base salary: 75,000 -100,000 GBP gross annually (based on experience & interview outcomes)
  • Restricted Stock Units (RSUs) & numerous amount of other benefits: https://www.wise.jobs/2020/07/07/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.

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.

Top Skills

Looker
Power BI
Python
R
SQL
Tableau

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