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Lead Quantitative Engineer - Singapore - BULLISH SG PTE. LTD.
6 days ago
Description
Roles & ResponsibilitiesAbout
Focused on developing products and services for the digital assets sector, Bullish has rewired the traditional exchange to benefit asset holders, enable traders and increase market integrity. Supported by the group's treasury, Bullish's new breed of exchange combines deep liquidity, automated market making and industry-leading security and compliance to increase the accessibility of digital assets for investors. Bullish exchange is operated by Bullish (GI) Limited and is fully regulated in Gibraltar.
Mission: To build technology and tools that make earning, investing, and transacting more rewarding.
Vision: A world where everyone is empowered to create a better financial future.
The successful candidate will join the quantitative engineering team at Bullish. The team is responsible for developing and implementing the algorithms and mathematical models for the exchange's core business logic.
Responsibilities:
· Design, implement, and test new product features, and in addition, maintain and improve existing ones.
· Write clear, high-quality, optimized, and maintainable code.
· Provide support, and help identify and debug issues in production.
· Contribute to designing product features and core business logic.
· Implement mathematical models and algorithms in production-quality code.
· Write and maintain comprehensive test cases.
· Interact regularly with Product Managers, Quants, Tech Ops Engineers etc.
Required Qualifications, Skills and Experience:
· 7+ years of hands-on experience in Java programming.
· Bachelor's degree in Computer Science, Mathematics, Physics, Electrical Engineering, or a similar quantitative field.
· Strong understanding of data structures and algorithms.
· Some experience with mathematical models in finance or physical sciences.
· Basic understanding of CI/CD.
· Strong analytical and quantitative skills.
· Passion for learning new technologies and concepts.
Desirable Qualifications, Skills and Experience:
· Experience in building trading/risk systems.
· CFA or Master's degree in quantitative finance.
Bullish is proud to be an equal opportunity employer. We are fast evolving and striving towards being a globally-diverse community. With integrity at our core, our success is driven by a talented team of individuals and the different perspectives they are encouraged to bring to work every day.
Tell employers what skills you haveTreasury
Derivatives
Data Structures
Physics
Mathematics
Risk Management
Test Cases
Quantitative Finance
Good Communication Skills
Python
Statistics
Java
Accessibility
Pricing
Electrical Engineering
C++