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Senior Product Analyst - Financial Crime

London, United Kingdom

Pay
Pay not listed
Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Apply at Wise

What you’ll work on

Full posting
  • Hunt for anomalies, blind spots and control gaps in transaction and case data

  • Build rules and features for the fraud detection engine

  • Run root-cause and cohort analyses and propose prioritized fixes

  • Define and own fraud KPIs with PMs, data scientists and operations

  • Model pre-launch fraud risk and give go/no-go recommendations for new markets

From the employer’s posting
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.
Drive root-cause and cohort analyses to diagnose why controls succeed or fail and propose prioritized remediation.
Partner with Product Managers, Data Scientists, Operations and other Analysts to define and own fraud KPIs across Wise products and markets
Run pre-launch risk scenario modelling to estimate exposure and operational load. Provide clear go/no-go recommendations

What you’ll bring

All qualifications

Core experience

  • Proven ability to dig into data, surface anomalies, communicate findings frequently, and drive actions across teams.
  • Experience with feature engineering and model monitoring.
  • Familiarity with Airflow/DBT/Git/Snowflake and production data platforms.
Qualification wording
Proven ability to dig into data, surface anomalies, communicate findings frequently, and drive actions across teams.
Experience with feature engineering and model monitoring.
Familiarity with Airflow/DBT/Git/Snowflake and production data platforms.

Tools in this posting

  • Python
  • SQL
  • dbt
  • Looker
  • Power BI
  • Snowflake
  • Tableau
  • Airflow
  • pandas
  • scikit-learn
Source — Tool mentions in context
- 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
- Experience with feature engineering and model monitoring. - Familiarity with Airflow/DBT/Git/Snowflake and production data platforms. Additional Information

Posting record

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Status in our records
Live
First seen by us
Oct 8, 2026 · 21 days ago
Recorded sightings
305
Last seen by us
Oct 30, 2026

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  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

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.

How you’ll contribute

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.

Qualifications

Ideally you'll have

  • Minimum 3 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

If you care about protecting customers and enabling growth through rigorous, product-focused fraud analytics and you like owning high-impact, high-visibility work, we’d love to hear from you.

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.

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.

Source details

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Pay

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Location & working pattern

London, United Kingdom

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