Commodities Quantitative Researcher
2 weeks ago
Commodities Quantitative Researcher - Singapore
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**
Responsibilities include, but are not limited to:
- Research on alternative data while working alongside a Commodities Portfolio Manager
- Communicating with data providers and inhouse data analysts
- Quantamental analysis on the commodities market, including but not limited to, bulks, metals, industrials
**REQUIREMENTS**
- Bachelor's degree or the equivalent in Business, Business Administration, Finance, Economics, Mathematics or Engineering from a reputable university.
- 3 years of experience from firms including but not limited to Hedge Funds, Trading Houses, Prop Desks or Banks
- Experience on quantitative research and signal generation
- Strong machine learning and deep learning capabilities
- Python and SQL based programming skills for data processing and analysis required
- Ability to identify and quantify alternative datasets in the commodities space
Job ID REQ6524
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