Analytics Sr Manager - Risk & Controls

We re looking for a Senior Analytics manager who is passionate about our mission of Money Without Borders to partner with our financial crime product teams to help drive data-driven and innovative growth decisions while helping to combat financial crime.

At Wise, we strike a critical balance between user experience and the stringent demands of risk prevention. Our mission within the Risk Controls team in APAC is to stay one step ahead of emerging risk while ensuring that our customers enjoy a seamless experience. In this vital role, you will innovate and implement controls that enhance security without compromising user convenience.

Most importantly, you ll collaborate closely with your product managers, designers, data scientists and engineers to bring your insights into real change for our customers and help drive our mission!

Your mission:

At Wise our mission is Money Without Borders - instant, convenient, transparent and eventually free. Whether our customers are sending money to another country, spending money abroad, or making and receiving international business payments, Wise is on a mission to make their lives easier and save them money.

Here s how you ll be contributing to the Financial Crime team:

• 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

This role will give you the opportunity to:

• 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
• 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 Qualifications

A bit about you:

• 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
• 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 data 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

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

• Experience with user-facing products and data
• Machine learning experience
• Knowledge of regulations, sanctions compliance, and financial crime frameworks
• Knowledge of regulatory reporting requirements and compliance standards
• Knowledge of A/B testing

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.