Wise Logo

Wise

Senior Product Analyst - AUP (Fraud Squad)

Posted 2 Days Ago
Be an Early Applicant
Hybrid
Tallinn, Harju maakond
Senior level
Hybrid
Tallinn, Harju maakond
Senior level
The Senior Product Analyst will analyze transaction, event, and case data to identify fraud-control gaps, build detection rules and features, and recommend remediation. The role owns fraud KPIs, performs root-cause and cohort analyses, supports new-market risk modeling, and advises on go/no-go decisions. Responsibilities include partnering with product, engineering, data science, compliance, operations, and investigations teams to improve fraud detection, customer experience, and operational performance.
The summary above was generated by AI
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 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

  • 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.

Wise London, England Office

Wise London Office

Our central London office at Worship Square in Shoreditch is a dynamic, full-stack hub. Teams across Engineering, Product, and Operations work side by side to design, build, and ship products globally. Wise offers a rare level of trust and ownership, accelerating your career impact.

Similar Jobs at Wise

Yesterday
Hybrid
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Build and operate real-time fraud prevention systems for transfer and customer-profile decisioning. Own technical roadmaps, design scalable low-latency distributed systems, improve reliability and observability, address technical debt, and productionize AI-driven signals. Mentor engineers, lead technical discussions and incident resolution, collaborate with Product, Data Science, Fraud Operations, and Analytics, and balance fraud protection with customer experience.
Top Skills: JavaJvmKafkaLarge Language ModelsMachine LearningPython
2 Days Ago
Hybrid
Entry level
Entry level
Fintech • Mobile • Payments • Software • Financial Services
Design, implement, and maintain direct integrations between Wise and complex financial systems across EMEA. Develop scalable network architecture, automate and optimize infrastructure, support cloud and data-center connectivity, and manage routing, VPNs, firewalls, and security policies. Collaborate with platform and product engineering teams, third-party partners, and stakeholders to plan roadmaps, translate requirements into technical solutions, and deliver reliable, compliant network systems.
Top Skills: AnsibleAws Cloud WanAws Direct ConnectAws Transit GatewayAws VgwAws VpcAws Vpc PeeringBgpCheck PointCi/CdCiscoEcmpFirewallsGitGitGreIpsecJavaJuniperKubernetesLinuxNetconfNetwork AclsNetwork TelemetryPythonRoutingSwitchingTcp/IpTerraformTraffic Load Balancing
2 Days Ago
Hybrid
Senior level
Senior level
Fintech • Mobile • Payments • Software • Financial Services
Owns end-to-end recruitment for complex, senior, and high-volume technical roles. Advises hiring managers and senior leaders on hiring strategy, builds sourcing plans and talent pipelines, uses data to improve recruiting processes, mentors junior recruiters, and delivers a strong candidate experience.
Top Skills: AIRecruiting Tools

What you need to know about the London Tech Scene

London isn't just a hub for established businesses; it's also a nursery for innovation. Boasting one of the most recognized fintech ecosystems in Europe, attracting billions in investments each year, London's success has made it a go-to destination for startups looking to make their mark. Top U.K. companies like Hoptin, Moneybox and Marshmallow have already made the city their base — yet fintech is just the beginning. From healthtech to renewable energy to cybersecurity and beyond, the city's startups are breaking new ground across a range of industries.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account