Quantitative Developer

Quantitative Developer / Software Engineer - Singapore

Balyasny Asset Management (BAM) is a diversified global investment firm founded in 2001 by Dmitry Balyasny, Scott Schroeder, and Taylor O'Malley. With over $20 billion in assets under management, BAM employs more than 1,900 people across 20 offices in the U.S. and Canada, Europe, the Middle East, and Asia. The firm’s 165 investment teams span six strategies, including Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity. Balyasny’s mission is to deliver to its investors absolute, uncorrelated returns in all market environments.

Our Central Quantitative Research & Trading team develops cutting-edge systems that power our intraday equity trading and statistical arbitrage strategies. We build high-performance, low-latency platforms that integrate advanced quantitative research with real-time market execution.

We are seeking exceptional candidates who are passionate about pushing the boundaries of quantitative finance and building scalable, efficient trading systems.

Responsibilities:

· Design and implement a research platform for feature engineering, model fitting, strategy monetization, and post-trade analysis

· Develop high-performance, low-latency trading systems, including market data interfaces and outbound order routing

· Enhance off-the-shelf machine learning packages to meet the team's specific requirements

· Conduct daily operations of various trading-related tasks across US and APAC markets

· Collaborate with quants and traders to optimize strategy implementation and execution

Minimum Qualifications:

· Masters degree or above in Computer Science, Computer Engineering, Electrical Engineering, or a related field

· Minimum 5 years of experience in both C++ and Python development, with a focus on implementing low-latency trading systems

· Proven track record in building quantitative trading platforms and infrastructure

· Strong understanding of financial markets, particularly in equities and statistical arbitrage

· Self-starter with excellent problem-solving skills and ability to learn quickly

· Outstanding verbal and written communication skills

· Knowledge of regulatory frameworks in algorithmic trading