KEY RESPONSIBILITIES
Lead and support delivery of complex data and analytics transformation initiatives, with a strong emphasis on Python‑based solution development for Financial Services clients.
Design, develop, and maintain Python‑driven data pipelines, analytical models, and reusable components that meet business, technical, and governance requirements.
Enhance and refactor existing Python codebases to improve performance, scalability, and maintainability, ensuring alignment with enterprise data standards.
Apply Python for data analysis, data modelling, and transformation, supporting downstream reporting, analytics, and AI/ML use cases.
Collaborate with stakeholders to understand end‑to‑end user journeys and translate business needs into robust, production‑ready Python solutions.
Produce clear technical documentation, data artefacts, and analysis outputs to support development teams and client delivery.
Contribute to the growth of the HK and Global Data Practice, supporting broader capabilities across cloud, AI, and machine learning initiatives.
SKILLS & EXPERTISE
5 years of experience in python development within Financial Services.
Advanced proficiency in python for data processing and analytics, including libraries such as pandas, NumPy, and related frameworks.
Strong understanding of data warehousing concepts, data modelling principles, and data governance standards.
Solid experience working within SDLC and Agile delivery environments as a strong individual contributor.
Experience with FIS tools, including Prophet and PMCS (configuration, runs, outputs, integration
Experience using IFRS-related platforms or solutions is preferred
Immediately available highly preferred
WHY JOIN CAPCO?
You will work on engaging projects with some of the largest banks in the world, on projects that will transform the financial services industry.
