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Python Trading Developer - Delta 1 x2

Gravitas Recruitment Group Hong Kong
Gepostet vor 5 Stunden Festanstellung Competitive

Python Trading Developer - Delta 1 x2

Gravitas Recruitment Group Hong Kong
- Trading Desk (APAC)

Role Summary
We are seeking a highly motivated Quantitative Analyst or Associate (0–5 years of experience) to join our APAC Trading Desk. This front-office position sits directly on the desk and focuses on driving automation, scalability, and operational efficiency across complex financial products.

Required Qualifications
  • Programming: Advanced Python and solid SQL database skills.
  • Education: Bachelor’s degree in Computer Science, Engineering, Math, Physics, Finance, or a related quantitative field.
  • Experience: 0–5 years in trading desk support, quantitative finance, fintech, or automation roles.
  • Soft Skills: Quick problem-solving and strong communication skills for a fast-paced front-office environment.
  • Engineering Principles: Understanding of code version control, testing, and deployment.
Key Responsibilities
  • Desk Automation: Partner with traders to build automated pipelines for trade capture, reconciliation, and reporting.
  • Tools Development: Create scripts, dashboards, and apps to reduce manual tasks and track desk performance.
  • Data Engineering: Process structured and unstructured market and transactional data.
  • Collaboration: Partner with tech teams to deploy code, and work with Risk/Operations to improve controls.
Preferred Qualifications
  • Technical Stack: Experience with Pandas, NumPy, FastAPI, Power BI, Git, Linux, APIs, or Cloud tech.
  • Domain Expertise: Exposure to Equities, Swaps, Futures, ETFs, Prime Services, or electronic trading.
  • Market Knowledge: Understanding of financial market structures and trade lifecycles.
Ideal Candidate Profile
  • A programmer first who is highly motivated to learn financial markets.
  • Proactive in finding automation opportunities without instruction.
  • Highly detail-oriented with a strong sense of ownership.
Job ID  173510
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