KYC Controls Product analyst

We are seeking a passionate 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.

As a Product Analyst you will collaborate closely with the  product managers and engineers for the KYC Controls team. Youll also be a part of Wises global analytics community giving you access to a network of analytics professionals worldwide.

In this role you will have full ownership of your analytical space contribute to strategic planning and drive databased decisionmaking. Your responsibilities 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 driving impactful outcomes.

Problems youll solve in this role:

• Own data and analytics assets within your area operating at the intersection of Product Analytics Analytics Engineering and Data Science
• Guide the product team by addressing critical issues using data and insights and developing relevant KPIs to measure impact.
• Make our vast data on processes accessible and actionable for product teams across Wise enabling them to access information proactively and independently.
• Own setting definitions and monitoring processes for key metrics and results for your product team ensuring accountability throughout the quarter.
• Develop frameworks for managing risk and enhancing the customer experience.
• Drive the discovery phase by identifying new opportunities and suggesting initiatives to reduce financial crime through meaningful insights.
• Collaborate closely with Product Engineering Machine Learning Scientists and Operations teams.

This role will give you the opportunity to: 

• Be part of a positive change in the world. Were fixing a broken system and putting people and businesses in control of their money
• Create value from extensive datasets. We have millions of customers a global set of payment infrastructure and a complex product that customers can use in different ways. There is a ton of value left to unlock from this data!
• Influence the teams direction. Analysts at Wise enable datadriven decision making and have a large impact by helping their teams to decide what to work on.
• 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.

Qualifications :

A bit about you: 

• You have experience working with product teams and have delivered impactful analysis influencing product decisions
• You have strong quantitative skills. Ideally a background in statistics maths physics engineering or other scientific area. 
• You have experience with A/B testing
• You have a strong handson 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 simpletounderstand models
• Hustlermentality. 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 2 YOE analysing data in a professional setting with at least 1 YOE working with product teams (experience in Analytics heavy Consulting role can be considered as an alternative to product experience)

Some extra skills that are great (but not essential): 

• Experience with userfacing products and data
• Experience in fincrime domain balancing risk and customer experience
• Machine learning experience

Additional Information :

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 Wise.Jobs.

Keep up to date with life at Wise by following us on LinkedIn and Instagram.

Remote Work :

No

Employment Type :

Fulltime