Analytics Senior Manager - Risk & Controls

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Skills you'll use

What you'll do

• You’ll expose the vast data on our processes to the product teams across Wise in a meaningful and actionable way in which people can proactively access the information without friction or need for analyst assistance
• Proactively contribute to, own, create, track key metrics and results  for your product and operational teams, keeping them accountable throughout the quarter
• Support stakeholders by conducting research, preparing reports, and visualisations
• Work with data scientists in understanding and developing the means for detecting and mitigating financial crime
• Building the framework for managing risk and customer experience at scale
• Drive the discovery phase by scoping new opportunities and suggesting features, rules and models to combat emerging risks
• The role requires collaboration with Product, Data Scientists, Engineering and Operations Team
• Be part of a positive change in the world. We’re fixing a broken, greedy system, and putting people and businesses in control of their money

Who can apply

• 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 tonne of value left to unlock from this data!
• Influence the team’s direction. Analysts at Wise enable data-driven 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.
• Lead and develop a team of 3 analysts: helping them to set priorities, coaching for impact, and maintaining quality standards
• You have strong quantitative skills. Ideally a background in statistics, maths, physics, engineering, or other scientific area 
• You have experience in financial crime domain (typologies and alert investigations) balancing risk and customer experience
• You have 9-10+ years of experience in data analytics (in financial crime or risk analytics) and 4-5+ years leading others (can be overlapping) 
• You have experience with SQL and Python/R

About Wise

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