Balyasny Asset Management L.P. (BAM) is a global institutional investment firm. We strive to deliver consistent, uncorrelated, absolute returns in all market environments by fostering a culture of research, innovation, and collaboration. BAM exists at the intersection of finance and technology, combining the deep industry knowledge of leading portfolio managers and financial analysts with software engineers and quantitative researchers. We leverage the collective expertise of our teams to seek out new investment opportunities, analyze market conditions, minimize risk, and provide superior service to our investment partners. With 2,000+ employees in 17 offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and well-being of our people through world-class benefits
POSITION SUMMARY
The Senior Quantitative Researcher will be focusing on Quantitative research and assisting the portfolio manager with tasks including, but not limited to backtesting, machine-learning, alpha research etc.
ROLE OVERVIEW:
Responsibilities include, but are not limited to:
• Analyze large datasets using statistical methods to identify trading opportunities and develop statistical arbitrage alphas.
• Help to develop analytical framework and ML based tools to help solve complex data related problems.
• Conduct quantitative research and analysis related to portfolio construction.
REQUIREMENTS
• Bachelor's degree or advanced degrees in Quantitative Finance, Finance, Economics, Mathematics, Engineering or various scientific subjects from a reputable university.
• 3 years of working experience within the finance sector(including internships); experience working with equity statistical arbitrage, algorithmic trading, execution, central risk book, and/or market microstructure would be strongly preferred.
• Demonstrated ability for doing quantitative research involving linear and non-linear statistical methods. Machine learning related research projects/competition awards would be a plus.
• Coding experience in Python is a must. Familiarity with other major programming languages (e.g. C++) is a plus.
• Collaborative and commercial savvy. Professional demeanour with an eagerness to learn.
• Location preference to be in Singapore or Hong Kong
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