About this role
Make your mark in a fast-paced, collaborative environment by protecting clients from financial crime while crafting clear narratives that strengthen relationships.
As a Fraud Associate within Commercial Investment Banking, you safeguard financial systems by identifying at-risk customers and transactions to help prevent money laundering and other financial crimes. You leverage data analytics, tech literacy, and emerging technologies to spot patterns and strengthen fraud detection processes through strategic and systems thinking. You collaborate across teams and provide front-line support and training to help colleagues apply fraud prevention policies and procedures consistently.
Job Responsibilities:
- Design comprehensive fraud prevention strategies using data analytics and emerging technologies to strengthen systems and processes.
- Scrutinize customer transactions to detect potential fraud, applying artificial intelligence and machine learning methods to improve accuracy.
- Align fraud prevention policies and procedures with credit risk and partner teams to support a unified risk management approach.
- Coach team members through mentoring and guidance to build a culture of continuous learning and vigilance.
- Track emerging technologies and legislative changes that impact the business and apply insights to enhance fraud prevention capabilities.
- Implement and maintain fraud prevention policies and procedures, reinforcing awareness and consistent execution across colleagues.
Required qualifications, skills, and capabilities:
- Bring 8+ years of experience or equivalent expertise in fraud detection and prevention, focused on identifying at-risk customers and transactions.
- Interpret patterns and trends in fraudulent activity using data analytics to inform detection and prevention actions.
- Apply knowledge of emerging technologies that impact the business to improve fraud prevention methods and controls.
- Collaborate across functions, partnering effectively with multiple departments to achieve shared risk management goals.
- Deliver front-line customer service support by proactively seeking feedback and using it to improve fraud prevention systems and processes.
Preferred qualifications, skills, and capabilities:
- Demonstrate “Developing experience using AI-powered analytics, workflow automation, or intelligent process tools to drive efficiency gains, reduce manual effort, or improve accuracy in operational processes.”