Python Risk Engineer

IO Tech Solutions Limited; Hong Kong; On-site; HKD 900,000 - 1,300,000; Full time

Job summary

IO Tech Solutions Limited seeks a skilled software engineer to design, build, and maintain scalable risk platforms and valuation engines using Python. You will implement production-grade models and interfaces, craft robust REST APIs, and optimize data pipelines for large financial datasets.

The role requires 4+ years in financial services, strong Python, SQL, and backend framework experience, plus Git/CI/CD and testing. HK/SG applicants welcome, onsite work in Hong Kong or Singapore is expected.

Qualifications

• 4+ years of professional experience in financial services (investment banking, hedge funds, or asset management).
• Advanced proficiency in Python, with clean, modular, and performant code.
• Strong knowledge of SQL relational databases (PostgreSQL, SQL Server) and handling large datasets.
• Proficiency with Git, CI/CD pipelines, and writing comprehensive unit tests.
• Familiarity with backend frameworks (FastAPI or Flask) and performance optimization techniques.
• Open to both Hong Kong and Singapore applicants.

Responsibilities

• Design, build, and maintain scalable risk platforms and valuation engines using Python.
• Develop robust REST APIs to interface with internal scenario engines.
• Translate complex risk models into production libraries and scalable code.
• Create automated ETL workflows for massive financial datasets and real-time data.
• Write optimized SQL queries and manage transactional/historical data layers.
• Collaborate with business, risk managers, and quants to turn risk workflows into technical requirements.

Skills

Financial background

Python

SQL

Git

CI/CD

Backend frameworks

Tools

PostgreSQL

SQL Server

FastAPI

Flask

Git

CI/CD

Unit tests

Job description

• Risk Engine Development: Design, build, and maintain scalable risk platforms, valuation engines, and P&L attribution frameworks using Python.API & Integration: Build and support robust REST APIs that interface internal scenario eng
• Model Implementation: Translate complex quantitative risk models (e.g., Credit Risk, Market Risk, and Greeks) from prototypes or spreadsheets into optimized, production-level libraries.
• Data Pipelines & Automation: Create automated ETL workflows to ingest, clean, and process massive financial datasets and real-time market data.
• Database Management: Write, optimize, and maintain complex SQL queries to interact with transactional and historical data layers.
• Cross-Functional Collaboration: Partner with the business, risk managers, and quants to convert complex scenario testing and risk workflows into technical requirements.

Required Technical Skills

• Financial Background: 4+ years of professional experience working within financial services, investment banking, hedge funds, or asset management environments.
• Core Python Expertise: Advanced proficiency in writing clean, modular, and performant Python code (Object-Oriented Programming, concurrency, memory optimization).
• Data Management: Strong knowledge of SQL relational databases (PostgreSQL, SQL Server) and experience managing large financial datasets.
• Development Tools: Proficiency with Git version control, CI/CD pipelines, and writing comprehensive unit tests.
• System Architecture: Understanding of backend frameworks (like FastAPI or Flask) and system performance optimization techniques.
• Open for both Hong Kong and Singapore Applicants.