Location
London

Hours
Full Time

Salary
Competitive, commensurate with experience

About the Role
Join a dynamic team at the forefront of treasury innovation and analytics. As part of Advanced Treasury Analytics (ATA), you will help shape strategic decisions that influence the future of our business. In this role, you will develop 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 position offers global exposure, providing opportunities to collaborate with colleagues in Chicago, New York, and other international locations while contributing to impactful projects. You will build a strong foundation for future career advancement within the firm, with opportunities to expand your expertise across multiple business lines.

Key responsibilities include supporting the ATA team in maintaining and improving analytical tools and processes to ensure accuracy and efficiency, assisting in data analysis and report preparation to inform treasury management decisions, collaborating with team members and cross-functional partners to deliver innovative solutions, monitoring market trends and regulatory developments to contribute insights, communicating findings clearly to team leads and stakeholders, and participating in ongoing learning and development opportunities including mentoring from senior team members.

Experience
Extensive experience with a strong quantitative background and interest in wholesale banking products and financial markets. Experience in analytics, finance, or related roles. Demonstrated advanced skills in Python programming and cloud-based platforms such as Databricks or Snowflake. Solid analytical and problem-solving skills with attention to detail. Effective communicator and team player, eager to learn and contribute.

About you
Motivated to grow professionally and take on increasing responsibility. Collaborative and proactive with a passion for innovation and continuous learning.

Qualifications
Bachelor's or Master's degree in a quantitative field such as Finance, Mathematics, Engineering, or a related discipline preferred. Experience in banking, financial services, or analytics is advantageous. Exposure to financial modeling or optimization tools is a plus.