Python Engineer

As a Sr. Python Engineer , you will designing a client reporting platform that seamlessly integrate fixed income analytic models, large datasets, and proprietary research. These tools support real-time portfolio decisions and risk monitoring, with an emphasis on intuitive UI/UX and efficient integration across internal and external systems, * Build and maintain reporting templates using Python, pandas, and SQL..

• Write and optimize SQL queries for PostgreSQL.
• Design RESTful APIs with FastAPI/Flask.
• Implement caching using Redis.
• Manage CI/CD pipelines (e.g., GitHub Actions).
• Utilize AWS services (Lambda, S3) for orchestration.
• Troubleshoot and optimize cloud services performance.
• Collaborate with cross-functional teams.

• 7+ years of experience with core Python programming.
• Proficiency in pandas for data manipulation.
• SQL experience with PostgreSQL.
• Experience in REST API development.
• Knowledge of markup languages (HTML/XML).
• Basic understanding of Redis or caching.
• Familiarity with Git and CI/CD tools.

Nice to Have:

• Experience within the financial industry and fixed income or bnds is a huge plus but not a ust have
• AWS experience (Lambda, S3, CloudWatch).
• Experience with CI/CD pipelines (Jenkins, GitHub Actions).
• Docker experience.
• Experience in financial data or client reporting.