Senior Fraud Risk Consultant

About this role

At Feedzai, we're building a world of safer money. A world where financial institutions move faster than criminals. Where the payments that fund real lives through salaries, savings, and businesses are protected in real time. We use trusted AI to detect and prevent financial crime, fraud, and money laundering at scale: the world's top banks, payment networks, and acquirers trust our technology to safeguard more than one billion consumers and $9 trillion in payment volume every year.

Feedzai is a Series D company and has raised $282M to date. With a valuation of $2 billion, our technology protects 1 billion consumers and 90 billion transactions each year. The Risk & AI team within Customer Success is highly engaged with our clients making use of their critical thinking skills with a business-focused mentality and customer-facing attitude. They activate, maintain, and support clients, develop models and rules, and train & enable them.

In addition, they work cross-functionally with other departments (e.g., Research, Product, Marketing) in a collaborative team spirit spanning the globe to ensure we deliver best in class risk prevention solutions. Being on the frontline of fighting crime and protecting people from financial harm is incredibly inspiring to each of us. You: The Risk Consultant is responsible for being the expert and trusted advisor for the Fraud domain and continued servicing of the Feedzai Fraud and Digital Trust solutions.

This includes, but is not limited to, benchmarking standards, best practices, operational strategies and helping to drive product/research prioritizations. The role requires close & trusted relationships both internally & externally in the financial services domain. Your Day to Day: To be the expert and trusted advisor for each of the Fraud & Digital Trust domains (both internally & externally) Operate as an SME (subject matter expert) on the sector concerned and on the application of Feedzai products within that sector Documenting and presenting research & analysis findings, both internally and externally Monitor business indicators for each deployment, ensuring performance KPI’s are being met, and continuously improving Support workshop activities and solution development through to implementation Analyse information needs so that the data requirements for the solution are articulated clearly and that any data dependencies are made explicit to the client.