
Commercial & Investment Bank Treasury - Advanced Treasury Analytics – Senior Associate
at J.P. Morgan
Posted 14 days ago
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Join the Advanced Treasury Analytics team to support and enhance analytical tools and processes that inform treasury management decisions. You will perform quantitative analysis on large data sets, develop solutions using Python and cloud platforms (Databricks/Snowflake), and communicate findings to stakeholders. The role offers global exposure working with colleagues in London, Chicago and New York and emphasizes collaboration, mentorship, and professional development.
- Compensation
- Not specified
- City
- London, Chicago, New York City
- Country
- United Kingdom, United States
Currency: Not specified
Full Job Description
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.
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