Senior Product Analyst - Financial Crime

Posted 10 Hours Ago
Be an Early Applicant
London, Greater London, England, GBR
Hybrid
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Wise is one of the fastest growing fintechs in the world and we’re on a mission to make money without borders a new norm
The Role
Analyze transaction, event, and case data to identify fraud-control gaps, anomalies, and root causes. Build detection rules and features, define fraud KPIs, model risk for new market launches, and recommend prioritized actions. Partner with product managers, data scientists, operations, investigators, compliance, and engineering teams to improve fraud detection, customer experience, and operational outcomes.
Summary Generated by Built In
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.

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.

Skills Required

  • Minimum 3 years of experience in product analytics in a complex, data-driven environment
  • Ability to take analysis through execution and deliver measurable outcomes
  • Strong communication skills, including translating complex analysis into clear recommendations and influencing senior stakeholders
  • Strong analytical thinking and product intuition focused on payments, transaction flows, and online behavior
  • Experience identifying anomalies, communicating findings, and driving actions across teams
  • Advanced SQL skills
  • Python experience, including pandas, scikit-learn, or similar tools
  • Experience building dashboards with BI tools such as Looker, Tableau, or Power BI
  • FinTech, payments, and fraud experience
  • Experience with feature engineering and model monitoring
  • Familiarity with Airflow, dbt, Git, Snowflake, and production data platforms

What the Team is Saying

Wise Compensation & Benefits Highlights

  • Leave & Time Off Breadth — U.S. materials describe extensive paid leave (PTO, sick time, holidays, “Me Days,” volunteer and compassionate leave) plus a paid six‑week sabbatical after four years. Feedback suggests the time‑off package is a standout element of the offering.
  • Parental & Family Support — Benefits information highlights up to 18 weeks of fully paid parental leave in many locations, with clear tenure qualifiers in some markets. Feedback suggests these policies are robust and a notable strength.
  • Equity Value & Accessibility — Company and job-posting materials indicate RSUs are a regular part of compensation, with a shift toward RSUs since 2022. Feedback suggests the equity component is a relatively substantial part of total rewards.

Wise Insights

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The Company
9,000 Employees
Year Founded: 2011

What We Do

Wise is a global technology company, building the best way to move and manage the world's money. With Wise Account and Wise Business, people and businesses can hold 40 currencies, move money between countries and spend money abroad. Large companies and banks use Wise technology too; an entirely new network for the world's money. Launched in 2011, Wise is one of the world’s fastest growing, profitable tech companies. In fiscal year 2025, Wise supported around 15.6 million people and businesses, processing over $185 billion in cross-border transactions and saving customers around $2.6 billion.

Why Work With Us

We’re truly global in who we are, how we work, and how we build. Everything we do is centred around creating a world of money that’s fast, easy, fair. And open to all. Everyone who works here owns a piece of Wise, from the work they do, to the stock they hold.

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Wise Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We expect new joiners in the office most days to build connections and learn from colleagues for their first six months. After that, most Wisers split their working week between the office and home, typically coming in at least 12 times a month.

Typical time on-site: Flexible
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