Description
We are seeking a Lead Product Analyst to join our Financial Crime Platform team at Wise, a global technology company that aims to make it easy and affordable to move and manage money across borders.
As a Lead Product Analyst, you will partner with our Financial Crime and KYC Product teams to drive data-driven growth decisions while combating financial crime. You will lead analytics efforts in the Financial Crime Platform product team, balancing the need to prevent financial crime with enabling a smooth customer experience.
Responsibilities:
- Collaborate with Product, Engineering, and other Analysts to bring insights into real change for customers
- Expose vast amounts of data to product teams in a meaningful and actionable way
- Proactively contribute to, own, create, track key metrics and results for the product team
- Support senior and lead analysts by building pipelines, preparing reports, and visualisations
- Partner with data scientists and engineers to create new features for FinCrime prevention Machine Learning models
- Build the framework for managing risk and customer experience
- Drive the discovery phase by scoping new opportunities and suggesting initiatives to reduce financial crime
Qualifications:
- 5+ years of experience in data analytics
- 2+ years of experience in advanced analytics and statistical techniques
- Extensive experience with SQL, dbt, and Python/R
- Strong quantitative skills, ideally with a background in statistics, maths, physics, engineering, or computing
- Strong communication skills and ability to translate business and engineering problems into analytical solutions
- Ability to structure business problems with minimal supervision and prioritise problems collaboratively
- Proactive and self-motivated with a hustler mentality
- Experience with data visualisation tools and storytelling ability with data
Nice to Have:
- Data Engineering/Data Science experience
- Experience with unstructured and big datasets
- Experience with user-facing products and data
- Experience in the fincrime domain balancing risk and supporting customer experience
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