Capco

Python Developer | Banking

Capco
Apply
14 hours ago
Hong Kong, Hong KongSenior

Responsibilities

  • Lead and support complex data and analytics transformation initiatives for financial-services clients.
  • Design, develop, and maintain Python-driven data pipelines, analytical models, reusable components, integrations, and automation frameworks.
  • Refactor Python codebases to improve performance, scalability, maintainability, and alignment with enterprise data standards.
  • Apply Python to data analysis, data modeling, data transformation, reporting, analytics, and AI/ML use cases.
  • Translate stakeholder and business needs into production-ready Python solutions.
  • Produce technical documentation, data artifacts, and analysis outputs.
  • Contribute to the growth of the Hong Kong and global Data Practices, including cloud, AI, and machine-learning capabilities.

Requirements

  • At least 5 years of Python development experience within financial services.
  • Advanced proficiency in Python for data processing and analytics, including pandas, NumPy, and related frameworks.
  • Strong understanding of data warehousing, data modeling, and data governance standards.
  • Solid experience working as an individual contributor within SDLC and Agile delivery environments.
  • Experience with FIS tools, including Prophet and PMCS, covering configuration, runs, outputs, and integration.
  • Experience automating tests and quality checks in CI/CD pipelines using tools such as GitHub Actions, GitLab, or Jenkins.
  • Immediate availability is highly preferred.

Benefits

  • Work on engaging projects with some of the world’s largest banks and help transform the financial-services industry.

Tech Stack

GitHub ActionsJenkinsNumPyPandasPython

Categories

Data Engineering
Capco

About Capco

5,001-10,000 employees

Capco is a global technology and management consultancy focused on financial services, helping banks, capital markets, insurance, and wealth firms with digital transformation, risk and compliance, and data/AI-enabled modernization. Founded in 1998 and headquartered in London, it operates as a Wipro company. Its business model centers on project-based consulting, managed services, and solution delivery across strategy, engineering, and platforms for regulated institutions.

Contact me