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Senior Product Analyst - AUP (Fraud Squad)

Wise wise.com Open
On-site Tallinn Full-time Senior Data Analysis & BI

At a glance

Senior Data Analysis & BI role at Wise. Tallinn · full-time.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI
SenioritySenior
LocationTallinn
WorkplaceOn-site
EmploymentFull-time
PostedNov 11, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Search transaction, event and case data for fraud-control gaps, then build detection rules and features
  • Share findings and proposed fixes with the squad, using root-cause and cohort analysis to explain control performance
  • Set fraud KPIs with product managers, data scientists, operations and analysts, then link outcomes to control metrics
  • Lead fraud analysis for new-market launches, modelling risk and operational load before launch and advising go or no-go
  • Assess how fraud controls affect customers and recommend improvements across products and markets

What you bring

  • At least four years in product analytics in a complex, data-led setting
  • Advanced SQL, Python data-analysis skills and experience creating dashboards with a BI tool
  • You can explain complex findings clearly and turn analysis into action across teams
  • You bring strong analytical judgment and product sense around payments, transaction flows and online behaviour

Who this fits

This senior role suits an analyst who can own fraud investigations and carry findings through to operational or product changes. It is based on-site in Tallinn.

From the employer

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.

We’re looking for a Senior Product Analyst who is passionate about our mission of Money Without Borders to join our Global Fraud Squad. In this role, you’ll help Wise scale safely and efficiently by uncovering gaps in our fraud controls and strengthening our intelligence through analytics. You’ll work closely with cross-functional teams to turn insights into action, improving how we detect, prevent, and respond to fraud.

Here's how you'll contribute to the team:

  • Proactive detection & insights sharing
    • Proactively hunt for anomalies, blind spots and gaps in controls using transaction, event and case data.
    • Build rules and features for our detection engine to catch fraudsters.
    • Deliver frequent findings and recommended actions to the squad that lead to operational fixes.
    • Drive root-cause and cohort analyses to diagnose why controls succeed or fail and propose prioritized remediation.
    • Understand customer experience due to our controls and drive continuous improvements.
  • Drive KPI Performance
    • Partner with Product Managers, Data Scientists, Operations and other Analysts to define and own fraud KPIs across Wise products and markets
    • Identify, prioritise and drive initiatives with our product managers
    • Link business outcomes to control-level metrics, define and own performance for your team
  • Analytical leadership in new market launches
    • Be the primary analytical contact for fraud workstreams on new market launches
    • Run pre-launch risk scenario modelling to estimate exposure and operational load.
    • Provide clear go/no-go recommendations that balance risk, cost and customer impact.

This role will give you the opportunity to:

  • Choose your path to impact – pick high-leverage problems, create the vision and own execution.
  • Grow as a Product & Fraud Analyst – develop deep fraud domain expertise and combine it with your analytical skills.
  • Work cross-functionally – partner with PMs, engineers, analysts, investigators, compliance and operations across markets.
  • Be highly visible – your analysis will regularly inform Product and Risk Committees and shape strategic decisions.
  • Deliver measurable change – your work will protect millions of customers while enabling Wise’s growth.
  • You've minimum 4 years experience in product analytics in a complex, data-driven environment.
  • Hustler-mentality. You can take work beyond the analysis and get things done.
  • Strong communicator – you translate complex analyses into clear recommendations and influence senior stakeholders.
  • Strong analytical mind and product intuition focused on payments, transaction flows and online behaviour.
  • Proven ability to dig into data, surface anomalies, communicate findings frequently, and drive actions across teams.
  • Technical skills: advanced SQL, Python (pandas/scikit or similar), and experience building dashboards in BI tools (Looker/Tableau/PowerBI).

Good to have

  • FinTech/payments and Fraud experience.
  • Experience with feature engineering and model monitoring.
  • Familiarity with Airflow/DBT/Git/Snowflake and production data platforms.

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.

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.