Python Risk Engineer: Automation & Data Pipelines

Michael Page International (HK) Ltd; Hong Kong; On-site; HKD 420,000 - 700,000; Full time

Job summary

Michael Page International (HK) Ltd in Hong Kong is seeking an automation-focused risk reporting specialist to design and deliver automated solutions for reporting and data aggregation. You will build risk engines and data pipelines using Python, and craft complex SQL queries to extract accurate information from financial systems.

The role requires a solid grasp of risk management lifecycles, collaboration with risk managers and quants, and the ability to translate business needs into technical

Qualifications

• Bachelor's or Master's degree in Computer Science, Finance, Financial Engineering, or a related quantitative field.
• Proficiency in Python and SQL skills
• Domain knowledge of financial products, risk metrics, and risk management workflows.
• Experience automating business processes in financial environments.

Responsibilities

• Process Automation: Design, develop, and implement automated solutions to streamline manual risk reporting and data aggregation processes.
• Development: Utilize Python to build and maintain risk engines, analytical models, and data pipelines.
• Database Management: Write, optimize, and maintain complex SQL queries to ensure accurate data extraction and reporting from financial systems.
• Risk Framework: Apply a strong understanding of risk management lifecycles (identification, assessment, mitigation, and monitoring) to translate business requirements into technical specifications.
• Collaboration: Partner with risk managers and quantitative analysts to troubleshoot data discrepancies and enhance existing risk models.

Skills

Python

SQL

Analytical skills

Communication

Education

Bachelor's/Master's in CS/Finance/Financial Engineering

Tools

Git

Job description

Michael Page International (HK) Ltd in Hong Kong is seeking an automation-focused risk reporting specialist to design and deliver automated solutions for reporting and data aggregation. You will build risk engines and data pipelines using Python, and craft complex SQL queries to extract accurate information from financial systems.

The role requires a solid grasp of risk management lifecycles, collaboration with risk managers and quants, and the ability to translate business needs into technical