Project Lead with Python- Associate

Description

Join a collaborative team where you will help drive innovation in regulatory planning and develop your expertise in capital and liquidity management. This role offers opportunities to work with colleagues across regions enhance your technical skills and contribute to projects that strengthen the firms resiliency.

As an Associate within JPMorganChase Commercial & Investment Bank (CIB) Treasury you will act as a hands-on Python developer supporting the automation and enhancement of Treasury processes and analytics across the organization. You will partner closely with subject matter experts and technology teams to translate methodologies into robust scalable analytics solutionsbuilding Python-based data pipelines calculations and controls that improve speed accuracy and repeatability for regulatory deliverables. You will also help produce high-quality materials for internal and external audiences by automating reporting and ensuring outputs are well-documented traceable and auditable.

Responsibilities:

• Develop and maintain scalable Python code to automate Treasury analytics and workflows across the CIB Treasury organization.
• Build and enhance forecasting/analytics platforms used by the CIB Treasury organization focusing on reliability performance and reusability.
• Partner with CIB Treasury subject matter experts to understand complex products processes and regulatory drivers and ensure solutions reflect real business rules and operational constraints.
• Design and execute validation and control testing (unit tests regression tests reconciliation checks and data-quality controls) to confirm outputs are accurate explainable and fit for regulatory and management reporting use.
• Prepare and maintain documentation (specifications test plans test evidence logs and change documentation) to support auditability and governance expectations in a Treasury environment.
• Create and maintain business-aligned test cases updating them based on project feedback and changes in methodology data sourcing or platform requirements.
• Debug troubleshoot and optimize Python applications and pipelines resolving defects efficiently and improving runtime stability and observability (logging/metrics) where appropriate.

Required qualifications capabilities and skills:

• Degree in Information Technology Data Science Econometrics Statistics Finance Economics or a related field
• Relevant work experience in developing applications products dashboards or frameworks / process automation / financial analysis / process improvement or a related field.
• Knowledge of Python (experience using pandas numpy matplotlib sklearn statsmodels etc.); experience in Git unit test and debugging
• Experience in performing large dataset quality checks and analysis using Excel and Python
• Strong analytical and problem-solving skills and attention to details
• General knowledge of software development cycle a plus
• General knowledge of banking products and services a plus
• Ability to work in a fast paced results driven environment
• Ability to communicate technical concepts clearly both verbally and in writing
• Good organizational written and communication skills

Preferred qualifications capabilities and skills

• Experience in derivatives pricing securities secured funding market/counterparty risk or valuations.
• Leverage cloud and data platforms (AWS Databricks and Snowflake) to build and operate Python-based automation solutions including data ingestion/processing scalable analytics and efficient querying
• Technical skills including JavaScript SQL Tableau or Alteryx.

Required Experience:

Senior IC

Employment Type : Full-Time
Department / Functional Area: Finance
Experience: years
Vacancy: 1