Your Mission At Wise, we are fully devoted to our Mission: Money without borders. Instant, convenient, and eventually free. Over 16 million people and businesses use Wise, which processes over £9 billion in cross-border transactions every month, saving customers over £1.5 billion a year. We serve a wide range of customers from personal users, freelancers, small businesses and increasingly even to large enterprises and banks. Wise also offers over 50 currencies for customers to hold and convert money in. As an Associate Product Manager joining the Product Academy, you will be placed in one of our teams that both power Wise and ensure our customers have a safe and convenient experience when using us. You will get to build your skills in Product Management through a tailored learning program in combination with executing on real problems. After your successful graduation from the Product Academy, you will transition into a full-time member of the Wise Product team!

Salary: 2650 EUR gross monthly

We are looking for a Data Specialist (FinCrime Operations) to join our growing financial crime fighting team at Wise. As a Data Specialist your main focus is to provide operational reporting from an analytical perspective and provide data support in regards to product changes impact on operational work, partners and audits. You will also play a key role in supporting the launch of new products/processes and supporting implementation of meaningful changes in the operational team. You will collaborate closely with internal teams, including Compliance, Banking, and Product, to provide data insights and address complex challenges.

The role as a Data Specialist gives you the opportunity to:

• Use Looker and BI tools for root cause analysis, operational performance reviews, and trend identification;

• Present data-driven insights and problem areas to other internal teams, such as product, analytics, operations, banking, compliance teams;

• Ensure KPIs visibility and insights to changes affecting operational work;

• Create visibility of the team's daily workload and efficiency. Monitor those metrics and highlight issues if detected;

• Collaborate with teams on scalability plans, short-term problem-solving, and data-driven initiatives;

• Improve the team’s Looker and data interpretation skills through coaching and sharing learnings from own projects;

• Support operational excellence by documenting processes and maintaining knowledge spaces in the domain;

• Act as a liaison between operations, product, and other internal teams to ensure seamless communication and alignment.

• You’re located and legally authorised to work in Estonia.

• Ability to identify root causes, formulate hypotheses, and escalate issues effectively;

• Proficiency in BI tools (e.g., Looker) for data visualization.

• Excellent documentation, communication, and organizational skills;

• Self-starter with leadership capabilities, making independent decisions within scope;

• Readiness to learn and understand financial crime processes, with the ability to explain them to external stakeholders;

• Proven relationship-building and collaboration skills with internal and external stakeholders;

• Ability to prioritize high-impact tasks and measure their outcomes;

• Skilled in project management, including creating and managing plans independently;

• Effective in conflict resolution, negotiation, and public presentations;

• Comfortable giving and receiving feedback professionally;

• Experience in managing complex, multi-faceted projects with minimal supervision;

• Strong verbal and written English skills (additional languages are a plus);

• Basic knowledge of SQL is an advantage and can help with querying and analyzing data effectively, but it is not a strict requirement.

If you're interested in the position, please apply by submitting your CV and Cover Letter in English.

In your cover letter please answer the following questions:

1. What experience do you consider most valuable for the Data Specialist role at Wise?

2. Can you describe a project where your data analysis led to a measurable improvement?

If you are an internal candidate, please speak to your Team Lead first. Note that you must have been in your current role for at least 12 months before applying. Internal hiring guidelines are available here.

Please note that during the holidays period, there may be delays in reviewing job applications. We appreciate your patience and understanding, and we will get back to you as soon as possible.

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.

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