Treasury Rotational Program

Overview

The Treasury Rotational Program is designed to recruit top STEM-oriented talent and develop the next generation of Treasury professionals at East West Bank. The program provides participants with structured exposure across core Treasury functions through a series of rotational assignments, complemented by on-the-job learning, formal training, mentorship, and regular feedback.

Participants will gain hands‑on experience across a range of Treasury topics, including liquidity management, asset‑liability management, stress testing, markets, operations, and analytics and data. The program is intended to build strong analytical foundations, institutional knowledge, and practical understanding of the Bank’s balance sheet, risk framework, and governance environment.

The program will begin in July 2026 and run for 24 months. Upon successful completion, participants will be placed into roles aligned with their demonstrated skills, interests, and business needs. While the primary objective is to support long‑term Treasury staffing needs, placement into other analytical roles within the Bank may be considered a positive outcome where appropriate.

• Participate in multiple cross‑functional rotational assignments across core Treasury functions, including Liquidity, Asset‑Liability Management (ALM), Stress Testing, Trading and Markets, Treasury Operations, and Treasury Analytics & Data.
• Develop a comprehensive understanding of the Bank’s balance sheet, funding structure, interest‑rate risk profile, and liquidity management framework.
• Support analytical and modeling activities related to liquidity forecasting, stress testing, ALM modeling, Net Interest Income (NII) and Economic Value of Equity (EVE) analysis.
• Assist with market‑related activities, including portfolio monitoring, trade support, financial market research, and reporting.
• Gain hands‑on experience with Treasury operations, including cash positioning, collateral management, settlements, controls, and operational processes.
• Work with large and complex data sets to support Treasury reporting, analytics, and decision‑making, including exposure to data engineering, database management, and visualization tools.
• Participate in internal development programs, external training, and self‑study to build technical, analytical, and professional skills.
• Apply quantitative and analytical methods to solve problems, identify process improvement opportunities, and deliver actionable insights to Treasury stakeholders.
• Collaborate effectively with Treasury colleagues and partner functions, contributing to team projects and special initiatives as needed.
• May perform other duties as assigned.

• Master’s degree in a STEM or quantitatively focused discipline, such as Financial Mathematics, Statistics, Operations Research, Econometrics, Management Science, Actuarial Science, or related fields.
• Strong academic performance, generally reflected by a minimum GPA of 3.5 or equivalent.
• Demonstrated experience or coursework in quantitative analysis, financial modeling, or data analytics; experience with coding or programming languages (e.g., Python, SQL, R) strongly preferred.
• Exposure to big data concepts, database management, data engineering, data visualization, or financial engineering is highly valued.
• Strong analytical, problem‑solving, and critical‑thinking skills, with the ability to translate data into business insights.
• Effective written and verbal communication skills, with the ability to present complex information clearly and concisely.
• Highly organized, intellectually curious, accountable, and adaptable, with the ability to work effectively in a collaborative environment.
• Prior internship or relevant work experience in finance, analytics, technology, or a related field is preferred.

Applicants must have legal authorization to work in the United States. We do not offer visa sponsorship at this time.

The base pay range for this position is USD $80,000.00/Yr.

- USD $/Yr. Exact offers will be determined based on job‑related knowledge, skills, experience, and location.