
Opportunity at
WiseLead Product Analyst - FinCrime
Wise seeks a Lead Product Analyst for its FinCrime team located in London. This full-time, on-site role focuses on balancing user convenience with the security demands…
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About This Role
Wise seeks a Lead Product Analyst for its FinCrime team located in London. This full-time, on-site role focuses on balancing user convenience with the security demands of risk prevention. The employer operates a global financial platform aimed at making international money transfers and payments instant, convenient, and transparent. The position is suited for an experienced analytics professional who can translate complex datasets into actionable strategies. Working within an IC3 level…
Job Description
Wise seeks a Lead Product Analyst for its FinCrime team located in London. This full-time, on-site role focuses on balancing user convenience with the security demands of risk prevention. The employer operates a global financial platform aimed at making international money transfers and payments instant, convenient, and transparent.
The position is suited for an experienced analytics professional who can translate complex datasets into actionable strategies. Working within an IC3 level framework, the selected candidate will partner with engineers, product managers, data scientists, and operational staff to detect and mitigate financial crimes while preserving a seamless user experience.
Key duties involve developing risk management frameworks at scale, defining key performance metrics, and uncovering new features or rules to counter emerging security threats. Individuals joining the team will utilize extensive customer and transactional data to guide product direction and support informed decision-making.
Responsibilities
- Make process data accessible and actionable for product teams across the organization
- Define, track, and own key metrics and quarterly results for product and operational groups
- Partner with data scientists to create detection and mitigation methods for financial crimes
- Establish scalable frameworks for managing risk alongside customer experience
- Scope new opportunities and propose features, rules, and models to address emerging risks
- Coordinate closely with product, engineering, data science, and operations units
Requirements
- At least four years of professional experience analyzing data
- Proficiency in Python and SQL
- Strong quantitative background
- Familiarity with data visualization platforms such as Tableau, Looker, or PowerBI
- Ability to independently prioritize problems and translate business challenges into analytical solutions
Qualifications
- Educational background in a scientific area, engineering, physics, mathematics, or statistics
Core Skills
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Where is this job located?
This role is based in London.
Is this a remote position?
The posting specifies that this role is on-site.
What level is this position?
This is an IC3 level role.
What is the salary for this position?
The job posting does not specify the salary.
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