Python Engineer - Risk Technology

ioTech Solutions; Hong Kong; On-site; HKD 420,000 - 660,000; Full time

Job summary

ioTech Solutions is seeking a Python Engineer to join a Risk Technology team in Hong Kong, building applications and data services to support risk analytics, financial reporting, and financial workflows.

You will develop scalable Python applications, REST APIs and microservices, work with data platforms and trading data, and collaborate across Risk, Treasury and Product teams while participating in CI/CD and production support.

Qualifications

• 3–7 years of software engineering experience.
• Experience with REST APIs, microservices and SQL.
• Exposure to Kafka, Airflow, Flink or similar technologies.
• Experience with financial data, analytics or data platforms.
• Financial services experience is highly preferred.

Responsibilities

• Develop scalable Python applications, REST APIs and microservices.
• Build data-processing solutions for financial and risk analytics.
• Work with SQL, Kafka, Airflow/Flink and modern data platforms.
• Integrate with enterprise systems, trading platforms and market data.
• Collaborate with Risk, Treasury, Product Control and Execution teams.
• Participate in code reviews, testing, CI/CD and production support.

Skills

Python

REST APIs

Microservices

SQL

Kafka

Airflow

Flink

Data platforms

Job description

We're looking for a Python Engineer to join a Risk Technology team within a leading financial institution, building applications and data services supporting risk analytics, financial reporting and financial workflows.

Responsibilities:

• Develop scalable Python applications, REST APIs and microservices
• Build data-processing solutions for financial and risk analytics
• Work with SQL, Kafka, Airflow/Flink and modern data platforms
• Integrate with enterprise systems, trading platforms and market data
• Collaborate with Risk, Treasury, Product Control and Execution teams
• Participate in code reviews, testing, CI/CD and production support

Requirements:

• 3-7 years of software engineering experience
• Experience with REST APIs, microservices and SQL
• Exposure to Kafka, Airflow, Flink or similar technologies
• Experience with financial data, analytics or data platforms
• Financial services experience is highly preferred