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Open nowPosted 4 days ago

Senior Product Analyst - AUP (Fraud Squad)

Wise435 open roles

Where
Tallinn, Estonia
Work mode
On site
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Your applicationOpen nowSenior Product Analyst - AUP (Fraud Squad)Wise · Tallinn, Estonia

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The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Wise postings stay open a median of 12 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.3%14 days
  5. 35.6%30 days
  6. 58.1%60 days
This job: posted 4 days ago

Wise median: 12 days open

The posting

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

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 sharingProactively 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 PerformancePartner 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 launchesBe 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.

Qualifications

  • 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.

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.

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