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You will be updated with latest job alerts via emailLead Product Analyst - FinCrime
We are seeking a passionate Lead Product Analyst to join our KYC Controls team within the Fincrime squad. The team is responsible for building a robust KYC program that effectively mitigates financial crime while enabling sustainable growth through a risk based approach.
The ideal candidate will be enthusiastic about our mission of Money Without Borders and eager to take ownership of a large analytics domain within a dynamic product area. This position offers a unique opportunity to work with one of our largest squads responsible for keeping bad actors off our platform while ensuring a seamless experience for our customers. The Fincrime Squad consists of the following Teams: AML Screening Fraud fighting and KYC controls.
In this role you will have full ownership of your analytical space contribute to strategic planning by collaborating with product managers engineers and fellow analysts and drive data-based decision-making.
Your responsibilities will include measuring the impact of our initiatives providing insights for planning and ultimately enhancing the customer experience in line with our mission. You will delve into extensive datasets generate impactful analyses formulate recommendations and ensure their implementation. We seek candidates who are passionate about uncovering insights through deep analysis and independently driving impactful outcomes.
This is an IC3 role. For more information on our Analytics Career Map and levelling structure click here.
How you will contribute to the team:
Own the end-to-end monitoring of unclear origin of funds risk - quantify the risk define the risk appetite and identify the target population
Review KYC controls targeted at mitigating this risk and assessing the efficiency of these controls
Review of existing data sources regarding these controls collaborating with other analysts and analytics engineers to improve them
Run experiments to improve efficiency of KYC controls refining triggers and requirements
Qualifications :
You have strong quantitative skills. Ideally a background in statistics maths physics engineering or other scientific area
You have experience with SQL and Python/R
You have strong communication skills and an ability to translate business problems into analytical solutions
You have an ability to structure business problems with minimal supervision and an ability to prioritise problems independently as well as condense complex systems/ideas into simple-to-understand models
Hustler-mentality. You can take work beyond the analysis and get things done
You have experience with data visualisation tools (Looker PowerBI Tableau etc.) and demonstrate storytelling ability with data
You have 4 YOE analysing data in a professional setting
Learn from a global network of professionals. We have a large diverse team of analysts data scientists and product managers that you will work with and learn from
Additional Information :
Restricted Stock Units (RSUs) & numerous amount of other benefits: 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.
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 :
Full-time
Full-time