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Open nowFirst seen 33 hours ago

Python Risk Engineer

IO TECH SOLUTIONS LIMITED787 open roles

Where
Hong Kong, Hong Kong SAR, Hong Kong
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Your applicationOpen nowPython Risk EngineerIO TECH SOLUTIONS LIMITED · Hong Kong, Hong Kong SAR, Hong Kong

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on IO TECH SOLUTIONS LIMITED's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

11.5% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.0%1 day
  2. 4.3%3 days
  3. 11.5%7 days
  4. 18.1%14 days
  5. 35.6%30 days
  6. 44.6%60 days
This job: first seen 33 hours ago

The posting

Key Responsibilities

  • 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.
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