Cross-Asset Quant Dev: Trading Platform in Singapore
Arrowpoint
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Job summary
Arrowpoint is seeking a quant developer to join our cross-asset trading team in Singapore. You will build and enhance data infrastructure, live trading platforms, and analytics that underpin our multi-strategy investment platform, collaborating with PMs and tech teams to ensure robustness and reliability.
You will develop historical and live data pipelines, optimize cross-asset pricing and risk analytics, and contribute to backtesting tools, with 2–5 years of fintech experience and Python
Qualifications
- 2–5 years of experience in financial technology support, preferably hedge fund or investment bank
- Hands-on experience with at least two of FlexTrade, Tradeweb, Markitwire, Orchestrade, TS Imagine, or Trading Technologies
- Professional experience in Python development
- Proficiency in AWS cloud services
- Familiarity with APIs
- Experience or knowledge on FICC markets and products, pricing and risk management is a plus
- Strong problem-solving abilities in high-pressure, fast-paced environments
- Computer science, statistics, physics, maths PhD or high performing masters/bachelors in an established university
Responsibilities
- Developing and maintaining historical and live data infrastructure.
- Collaborating with tech team to maintain system connection, stability and performance.
- Developing and optimizing algorithms for cross asset securities and derivatives pricing, risk management, and trading analytics and reports.
- Developing and optimizing live trading platforms.
Skills
Education
Tools
Job description
Arrowpoint is seeking a quant developer to join our cross-asset trading team in Singapore. You will build and enhance data infrastructure, live trading platforms, and analytics that underpin our multi-strategy investment platform, collaborating with PMs and tech teams to ensure robustness and reliability.
You will develop historical and live data pipelines, optimize cross-asset pricing and risk analytics, and contribute to backtesting tools, with 2–5 years of fintech experience and Python
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