Equity Quantitative Researcher/Assistant Portfolio Manager
4 weeks ago
Balyasny Asset Management (BAM) is a global, multi-strategy investment Firm with over $21 billion in assets under management. We are a diversified business, with global breadth and depth. Our Firm has a clear mission: To consistently deliver uncorrelated returns in all market environments. Today, BAM employs more than 160 portfolio managers and 1,200 investment professionals across 19 offices in the U.S., Europe, the Middle East, and Asia. We are active across six investing strategies: Equities Long/Short, Equities Arbitrage, Macro, Commodities, Systematic, and Growth Equity. We also have a dedicated private investment team, BAM Elevate, and a standalone equities unit, Corbets Capital.
ROLE OVERVIEW
In the role of the Quant Researcher/Assistant Portfolio Manager, the employee reports to the Head of Quant Anthem globally and will be responsible for the following:
- Conduct Alpha Research with a regional focus on the Asian market
- Generate research ideas around statistical arbitrage based on mid-frequency trades
- Back-testing of strategies for effectiveness
- Possibility of running a sleeve of the portfolio for their quant strategy
- Location preference to be in Singapore or Hong Kong
REQUIREMENTS
- Minimum 5 years of experience in the quant research field
- Preference for candidates with experience in equities related quant research
- Ability to code in Python and R
- Strong interest in the equity markets
Tell employers what skills you have
Machine Learning
Asset Management
Quantitative Research
Algorithmic Trading
Mathematics
Proprietary Trading
Scripting
Trading Strategies
Python
Statistics
Capital
Arbitrage
Linux
Equities
C++
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