FIU Analyst

Interactive Brokers Group, Inc. (Nasdaq: IBKR) is a global financial services company headquartered in Greenwich, CT, USA, with offices in over 15 countries. We have been at the forefront of financial innovation for over four decades, known for our cutting-edge technology and client commitment.

IBKR affiliates provide global electronic brokerage services around the clock on stocks, options, futures, currencies, bonds, and funds to clients in over 200 countries and territories. We serve individual investors and institutions, including financial advisors, hedge funds and introducing brokers. Our advanced technology, competitive pricing, and global market help our clients to make the most of their investments.

Barron's has recognized Interactive Brokers as the #1 online broker for six consecutive years. Join our dynamic, multi-national team and be a part of a company that simplifies and enhances financial opportunities using state-of-the-art technology.

Interactive Brokers seeks an FIU Analyst who is hard-working, detail-oriented, careful and a problem solver. This Analyst will assist in reviewing and analyzing the firm's customers' cashiering activities per the firm's AML/CTF policy. This role requires high energy and learning new skills in a dynamic environment.

The role has regional responsibility and will involve:

• →Assist in the monitoring and surveillance of cashiering transactions by IBKR clients in the Asia Pacific region
• →Communicate with clients on monitoring and surveillance-related matters.
• →Reviewing and providing suggestions to enhance existing surveillance systems/reports.
• →Manage projects to build and implement approved enhancements and changes required due to regulatory changes. 
• →Staying up to date with changes in market conduct, AML and other related regulations,
• →Staying up to date with APAC and international developments in relevant areas of regulations and law.

• 1-3 years of experience with AML/CTF Rules. 
• Experience in dealing with exchange and regulatory enquiries.
• Fluency in English (both written and spoken) is essential.
• Good communication skills and customer service experience would be advantageous.
• Good quantitative, analytical, and problem-solving skills
• Solid academic background with relevant qualifications
• Knowledge on AI/Machine Learning would be advantageous
• Have a "can do" attitude and willingness to learn.
• Good organizational skills with the ability to multi-task, prioritize and work with minimal supervision
• A high degree of comfort and fluency with computers and technology and an understanding of how technology is applied to business and regulatory problems or an ability to develop this rapidly