BSD Fraud Analyst

Join the First Hawaiian Bank ‘ohana, where our culture flourishes with purpose. We prioritize the 3 C’s – Caring, Character and Collaboration – ensuring a workplace that is not only rewarding, but deeply fulfilling. Consistently recognized as one of the 'Best Places to Work in Hawaii' for 14 consecutive years, we take pride in our longstanding commitment to both our team and the communities we serve, spanning over 165 years.

Step into a career that offers stability, excitement, and growth. Experience the thrill of a dynamic environment paired with a comprehensive training program. Plus, enjoy the perks of our competitive compensation and benefits package. If you are ready for a career that empowers you to thrive, your journey starts here.

First Hawaiian Bank is currently seeking a BSD Fraud Analyst to join our Business Services Division. In this role, you will monitor and analyze data across multiple Business Services systems to detect and investigate fraudulent activity, ensuring timely intervention to mitigate bank and customer risk and loss.  This role will include the evaluation, confirmation and investigation of potential fraud situations which requires the ability to communicate with bankers and/or customers as well as conduct research on various applications/systems.  You will utilize observed and objective data to identify fraud and risk patterns to proactively identify, recommend and implement risk mitigation strategies.  You will also coordinate between divisions to ensure a comprehensive and effective strategy is implemented by working with the Business Services Fraud Risk Manager.

Compensation:

The hourly pay rate for this role is $45,000 -$65,000/ per year; commensurate with experience.

The ideal candidate will have:

• Bachelor’s degree in criminal justice, accounting, finance, related field, or equivalent experience
• CAMS, CAFP, or other fraud, BSA/AML, or compliance certification or equivalent 
• Three years of experience in fraud investigations, risk management, help desk, business analysis, or related fields, including experience with different fraud types and working with fraud detection scenarios, principles, and best practices
• Intermediate and some advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.