Senior Python Developer [NumPy / Pandas / Linux]

Project Description:

• We are seeking a highly experienced Senior Python Developer to strengthen our engineering capabilities and support the development and maintenance of complex, business‑critical systems in the banking domain, with a strong preference for experience in market risk or related risk analytics areas. The role requires deep technical expertise, strong mathematical or statistical understanding, and the ability to work effectively in cloud‑native, containerized environments.

Responsibilities

• Design, develop, and maintain high‑quality Python applications and services
• Contribute to the architecture and implementation of scalable, cloud‑based solutions
• Work with containerized environments using Docker and Kubernetes
• Collaborate with cross‑functional teams including quant/risk analysts, DevOps, and business stakeholders
• Participate in requirements analysis, technical design, code reviews, and production support
• Apply analytical and statistical methods to solve complex business problems where required
• Ensure adherence to best practices in software engineering, security, and performance

Mandatory Skills Description:

• 8+ years of hands‑on development experience with Python
• Strong experience working in Linux environments
• Practical experience with Docker and Kubernetes
• Experience with cloud services (AWS, Azure, GCP, or equivalent)
• Participation in at least one banking project, preferably within market risk or a related risk domain
• Solid background in mathematics and/or statistics
• Proven proficiency in programming analytics using Python libraries such as:
• NumPy
• Pandas
• SciPy (or equivalents)

Nice-to-Have Skills Description:

• Experience with financial risk models or financial data processing
• Familiarity with CI/CD pipelines and DevOps practices
• Experience working in regulated environments
• Strong communication skills and ability to mentor junior developers