- 3+ yrs of professional Python development exp
- You will work on high-impact projects
- Strong knowledge of financial markets
Our client, a global financial institution with a strong focus on quantitative analytics and electronic trading, is seeking an experienced Python Developer to join its front‑office technology and risk analytics team in Hong Kong. This role involves building scalable tools, data workflows, and analytical frameworks that support trading desks, risk teams, and cross‑functional stakeholders.
You will work on high‑impact projects ranging from risk modelling integrations to multi‑asset data pipelines, ensuring accuracy, performance, and robustness across all analytics functions. Ideal for developers who enjoy combining engineering with quantitative problem‑solving.
Responsibilities
- Develop and maintain Python‑based analytics tools supporting trading, risk, and performance analysis.
- Enhance scalable quantitative infrastructure for multi‑asset modelling and reporting.
- Build, validate, and monitor automated data pipelines to ensure accuracy and integrity of risk and market data.
- Collaborate with cross‑functional teams to integrate analytics into broader trading and data platforms.
- Contribute to research initiatives related to financial modelling and data sourcing.
- Follow best practice development standards, including documentation, testing, and reliability processes.
- Present technical solutions and insights to internal stakeholders when required.
Requirements
- 3+ years of professional Python development experience.
- Strong knowledge of financial markets, quantitative analytics, or risk methodologies preferred.
- Hands‑on experience with MSCI RiskMetrics or similar risk systems is a significant advantage.
- Solid understanding of data structures, algorithms, and numerical/analytical problem‑solving.
- Familiarity with multi‑asset modelling, risk reporting, or large‑scale data integration.
- Comfortable working in fast‑paced environments with trading, risk, and IT teams.
- Highly organized, detail‑oriented, and able to manage complex workflows with accuracy.