Opportunity at
WiseSenior Product Analyst - Financial Crime
Wise is hiring a Senior Product Analyst for its Global Fraud Squad in London. The purpose of the role is to help the company grow safely…
Career Tools
About This Role
Wise is hiring a Senior Product Analyst for its Global Fraud Squad in London. The purpose of the role is to help the company grow safely by spotting weak points in fraud controls and building its intelligence through data work. The analyst collaborates across teams and turns findings into operational changes that improve how Wise detects, prevents and responds to fraud. Much of the work is proactive. Using transaction, event…
Job Description
Wise is hiring a Senior Product Analyst for its Global Fraud Squad in London. The purpose of the role is to help the company grow safely by spotting weak points in fraud controls and building its intelligence through data work. The analyst collaborates across teams and turns findings into operational changes that improve how Wise detects, prevents and responds to fraud.
Much of the work is proactive. Using transaction, event and case records, the analyst looks for unusual patterns, unguarded areas and gaps in control coverage, then reports results and suggested steps to the squad. Root-cause and cohort studies reveal what makes a control effective or ineffective, leading to prioritised remediation proposals. The analyst also designs detection rules and features for Wise's detection engine and examines how controls shape the customer experience.
The role owns fraud KPIs across products and markets, coordinating with product leads, data scientists, ops staff and fellow analysts to connect commercial outcomes to control-level measurements. For new market launches, the analyst becomes the principal analytics partner for fraud, models pre-launch risk to forecast exposure and workload, and recommends whether to proceed by weighing risk, cost and customer effects. Findings often reach Product and Risk Committees.
Applicants should bring at least three years of product analytics in a complicated, data-heavy environment, and an intuition for payments, transaction flows and online activity. Advanced SQL, Python with pandas or scikit-learn, and dashboard building in Looker, Tableau or Power BI are essential. Experience in fintech, payments or fraud, feature engineering, model monitoring, and tools such as Airflow, dbt, Git, Snowflake or production data platforms would be useful. A hands-on approach and clear communication with senior leaders complete the profile.
Responsibilities
- Scan transaction, event and case records for unusual patterns and weak coverage
- Share findings and recommended actions with the squad to drive operational fixes
- Run root-cause and cohort studies that identify what makes a control work or break down
- Build rules and features for the detection engine
- Set and take responsibility for fraud KPIs spanning Wise's products and markets
- Tie commercial results to metrics at the level of each control, for the team
- Model pre-launch fraud risk to size exposure and workload for new markets
- Give go or no-go recommendations for new market launches
Requirements
- Three-plus years of product analytics work in a complicated, data-heavy setting
- Advanced SQL and Python, including pandas, scikit-learn or similar libraries
- Experience building dashboards in Looker, Tableau or Power BI
- Ability to surface anomalies and communicate findings frequently
- Strong communication skills to influence senior stakeholders
- A hands-on approach that gets work done beyond the analysis
Qualifications
- Fintech, payments or fraud experience
- Feature engineering and model monitoring experience
- Exposure to orchestration and warehousing tools such as Airflow, dbt, Git and Snowflake
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is the role located?
The role is listed in London as an on-site, full-time position.
Which tools are needed?
Advanced SQL, Python with pandas or scikit-learn, and a BI tool such as Looker, Tableau or Power BI are required.
What experience is required?
Three-plus years of product analytics work in a complicated, data-heavy setting is required.
Is a salary stated?
The posting does not state a salary.
What does the role cover beyond detection?
It covers fraud KPIs for products and markets, plus pre-launch risk modelling and go or no-go advice for new market launches.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.