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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;
MobileWiser 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.