Quantitative Developer

2 weeks ago

Singapore Bullish Global Full time

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.

Reports to:
VP Execution and Quantitative Engineering, Trading Engineering

A successful applicant for this position will be joining a global team of engineers modeling and building a high performance trading engine with embedded execution strategies. They will be joining the team with an emphasis on assisting designing algorithms and implementing them into production ready form (performant and reliable) and deploying them into our world class financial exchange, Bullish.

**Responsibilities**:
- Build mathematical models for new product features and refine existing ones.- Design and build isolated models in Java (knowing Python is advantageous) to prove concepts.- Work with other developers to translate mathematical models and POC into scalable, high-performance production code.- Build and run complex market simulations and analyze the results.- Able to write unit and macroeconomics tests to capture edge cases, dust and rounding errors.- Able to perform manual and automated quantitative tests.

Qualifications:
- Min 2 years of hands on programming experience in core Java (knowing Python is advantageous)- Bachelor's degree in Mathematics, Physics, Electrical Engineering, Computer Science, or a similar quantitative field.- Have front office execution side experience in a financial services product.- Knowledge of basic statistical methods and experience in data analysis.- Experience in building mathematical models for physical or financial systems.- Strong analytical and quantitative skills.- Strong understanding of data structures and algorithms.- Experience with git (github)- Passion for learning new technologies and concepts.

Bonus Experience:
- CFA or equivalent- Trading technologies understanding- Familiarity with crypto/stock trading

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.

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