Python Risk Engineer - Real-Time, Cross-Asset Analytics

IO Tech Solutions Limited; Hong Kong; On-site; HKD 600,000 - 1,200,000; Full time

Job summary

IO Tech Solutions Limited in Hong Kong seeks a Python Risk Developer to design, build, and maintain core pricing and risk infrastructure across multiple asset classes. You will work with senior managers and portfolio teams to ensure accurate, high-performance risk calculations.

The role emphasizes implementing risk models (VaR, stress testing), data pipelines, and seamless integration with trading workflows. Strong Python, NumPy, and Pandas skills are essential.

Qualifications

• Strong Python programming and software engineering skills.
• Experience implementing risk models and pricing infrastructure.
• Familiarity with risk concepts (VaR, stress testing) and cross-asset risk aggregation.
• Experience optimizing data pipelines and handling large datasets (NumPy, Pandas).

Responsibilities

• Design, build, and optimize Python-based risk engines, pricing libraries, and data pipelines for intra-day and end-of-day risk reporting.
• Collaborate with Quant researchers and Risk Managers to implement, backtest, and productionize mathematical risk models (VaR, stress testing, scenario analysis).
• Develop framework features for cross-asset risk aggregation across regional portfolios.
• Tune performance of data processing to minimize latency in large datasets using Python tooling.
• Integrate risk tools with internal PM platforms, OMS, and external data providers.

Skills

Python

NumPy

Pandas

Performance tuning

Parallel computing

Tools

Data pipelines

Job description

IO Tech Solutions Limited in Hong Kong seeks a Python Risk Developer to design, build, and maintain core pricing and risk infrastructure across multiple asset classes. You will work with senior managers and portfolio teams to ensure accurate, high-performance risk calculations.

The role emphasizes implementing risk models (VaR, stress testing), data pipelines, and seamless integration with trading workflows. Strong Python, NumPy, and Pandas skills are essential.