Commercial & Investment Bank Treasury - Advanced Treasury Analytics – Senior Associate

Job description

Join a dynamic team at the forefront of treasury innovation and analytics. As part of Advanced Treasury Analytics, you’ll help shape strategic decisions that influence the future of our business. As an Associate in the Advanced Treasury Analytics (ATA) team, you will have the opportunity to learn and grow by further developing your skills in quantitative analysis, financial markets, and treasury management while working with cutting-edge tools and large data sets.

You will be part of a collaborative, high-performing team that values learning, mentorship, and professional development. This role offers global exposure, allowing you to gain experience working with colleagues in Chicago, New York, and other international locations while contributing to impactful projects. Additionally, you will build a strong foundation for future career advancement within the firm, with opportunities to expand your expertise across multiple business lines.

Job responsibilities Support the ATA team in maintaining and improving analytical tools and processes, ensuring accuracy and efficiency. Assist in analyzing data and preparing reports to help inform treasury management decisions. Collaborate with team members and cross-functional partners to deliver innovative solutions. Monitor market trends and regulatory developments, contributing insights to team discussions. Communicate findings and updates clearly to team leads and stakeholders.

Take part in ongoing learning and development opportunities, including mentoring from senior team members. Required qualifications, capabilities and skills Extensive experience with a strong quantitative background and interest in wholesale banking products and financial markets. Experience in analytics, finance, or related roles. Solid analytical and problem-solving skills, with attention to detail. Effective communicator and team player, eager to learn and contribute.

Demonstrated advanced skills in Python programming and cloud-based platforms such as Databricks or Snowflake. Motivated to grow professionally and take on increasing responsibility. Preferred qualifications, capabilities and skills Experience in banking, financial services, or analytics. Exposure to financial modeling or optimization tools. Bachelor’s or Master’s degree in a quantitative field such as Finance, Mathematics, Engineering, or a related discipline.