
Commercial & Investment Bank Treasury - Advanced Treasury Analytics – Senior Associate
at J.P. Morgan
Posted a month ago
No clicks
- Compensation
- Not specified
- City
- London, Chicago, New York City
- Country
- United Kingdom, United States
Currency: Not specified
Join the Advanced Treasury Analytics team in London to support and improve analytical tools and processes that inform treasury management decisions. The role involves quantitative analysis of large datasets, preparing reports, and collaborating with cross-functional partners to deliver solutions. Strong Python skills and experience with cloud platforms like Databricks or Snowflake are required, with global exposure to colleagues in Chicago and New York and opportunities for mentorship and career growth.
Location: LONDON, LONDON, United Kingdom
As an Associate in the
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
- A few years’ 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.




