Lead Product Analyst - FinCrime Platform
Lead Product Analyst - FinCrime Platform
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Job Description
Were looking for a Lead Product Analyst to join the Financial Crime Platform team and partner with our Financial Crime and KYC Product teams to ensure we are making datadriven and innovative growth decisions while helping to combat financial crime.
Financial Crime (Servicing) Platform is our internal risk infrastructure tool that unifies customer onboarding and transaction monitoring controls ensuring Wise is protected against financial crime and meets regulatory requirements and standards.
You will lead our analytics efforts in the Financial Crime Platform product team that balances the work between preventing financial crime and enabling a smooth customer experience.
This is a great opportunity for a Product Analyst that thrives solving technical challenges or an Analytics Engineer that wants to be closer to business problems and product outcomes. Youll also be part of a wider team of 150 Analysts that youll get to collaborate with on crossteam projects have knowledge sharing sessions and bring ideas on how we can improve analytics across Wise.
This is an IC3 role. For more information on our Analytics Career Map and levelling structure click here.
WHAT YOULL BE DOING
Collaborating with Product Engineering and other Analysts to bring your insights into real change for our customers and help us work towards our mission
Youll expose the vast amounts of data available to our product teams in a meaningful and actionable way and support other teams in discovering insights in our data solutions
Proactively contribute to own create track key metrics and results for your product team keeping them accountable and enthusiastic throughout the quarter
Support senior and lead analysts by building pipelines preparing reports and visualisations
Partner with data scientists to create new features for FinCrime prevention Machine Learning models and integrating with external vendors
Building the framework for managing risk and customer experience
Drive the discovery phase by scoping new opportunities and suggesting initiatives to reduce Scams on Wise through meaningful insights
Qualifications :
WHAT YOULL BRING
You have extensive experience with SQL dbt (ideally) and Python. The biggest challenges you will face is how to scale and productionise efficiently your code models and ETLs. When we say vast amounts of data we are not joking our services generate more than 100 millions rows a day
You have strong quantitative skills. Ideally a background in statistics maths physics engineering computing or other scientific area
Strong communication skills and an ability to translate business and engineering problems into analytical solutions while being sensitive to the customers needs
You have an ability to structure business problems with minimal supervision and an ability to prioritise problems collaboratively with PMs and Engineers as well as condense complex systems/ideas into simpletounderstand models
Be proactive. You can take work beyond the analysis and get things done. Your curiosity will drive you to discover novel insights from our unstructured datasets
You have experience with data visualisation tools (Looker PowerBI Tableau etc. and demonstrate storytelling ability with data
NICE TO HAVE BUT NOT ESSENTIAL
Analytics/Data Engineering experience
Experience with unstructured datasets
Experience with userfacing products and data
Experience in fincrime domain balancing risk and supporting customer experience
Additional Information :
- Base salary: 75k 100k (based on experience & interview outcomes)
Restricted Stock Units (RSUs)
Read more about our full benefits offering here
#LICH1
For everyone everywhere. Were people building money without borders without judgement or prejudice too. We believe teams are strongest when they are diverse equitable and inclusive.
Were proud to have a truly international team and we celebrate our differences.
Inclusive teams help us live our values and make sure every Wiser feels respected empowered to contribute towards our mission and able to progress in their careers.
If you want to find out more about what its like to work at Wise visit .
Keep up to date with life at Wise by following us on LinkedIn and Instagram.
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
