At a Glance
- Tasks: Tackle fincrime analytics, model impacts, and design scalable platforms.
- Company: Join Wise, a global tech leader in money management solutions.
- Benefits: Enjoy RSUs, hybrid work, and a 6-week sabbatical after 4 years.
- Other info: Dynamic team environment with opportunities for growth and learning.
- Why this job: Make a real difference in financial crime prevention while developing your skills.
- Qualifications: Strong SQL, Python skills, and experience with BI tools required.
The predicted salary is between 59400 - 72600 £ per year.
Описание
Wise is a global technology company building solutions for moving and managing money worldwide.
It enables international money transfers, spending abroad, and cross-border payments while helping people and businesses reduce costs.
- Задачи
- Work on fincrime analytics problems involving risk, friction, and cost;
- Size opportunities, model impact on volume, cost, and risk, and evaluate control changes and operational experiments;
- Quantify why documents are rejected and measure the effectiveness of recovery prompts;
- Help design scalable platforms and build sustainable, long-term foundations;
- Work with engineers to build well-instrumented systems for understanding end-to-end performance;
- Define and maintain source-of-truth datasets and dashboards for onboarding funnels, manual reviews, document processing, and operational performance;
- Build self-serve data assets and documentation so stakeholders can answer common questions independently;
- Translate questions from CDD Ops, KYC Controls, Product, and Engineering into clear analytical plans;
- Communicate insights, trade-offs, and recommendations;
- Shape the next steps for product outcomes.
- Требования
- Able to design scalable data models from the backend to data infrastructure;
- Strong SQL skills and experience building robust pipelines;
- Proficient with BI tools and designing decision-ready dashboards;
- Clear communicator who can frame trade-offs between risk, conversion, and operational cost;
- Python skills for deeper analysis and automation;
- Nice to have: familiarity with risk management frameworks, exposure to financial crime concepts such as fraud and money laundering, experience working in a platform-oriented team.
- Условия
- Restricted Stock Units (RSUs);
- Hybrid working environment with 3 days per week in the London office;
- Best-in-class benefits;
- Mobile Wiser allows working from anywhere in the world for up to 90 days a year;
- 6 Weeks of paid sabbatical after 4 years at Wise, in addition to annual leave.
- #J-18808-Ljbffr
product analyst fincrime in London employer: Enfint
As a leading innovator in AI products for major publishers, our company offers an inspiring work environment where creativity and technology intersect. We prioritise employee growth through continuous learning opportunities and foster a collaborative culture that values diverse perspectives. Located in a vibrant city, we provide competitive salaries, relocation support, and the chance to make a real impact in the media landscape.
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