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Quant Researcher - Singapore - BALYASNY ASSET MANAGEMENT (SINGAPORE) PTE. LTD.
Description
Roles & ResponsibilitiesBalyasny 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.
POSITION SUMMARY
The Quantitative Research Associate 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:
· Quantitative Analyst working alongside a Quantitative Portfolio Manager
· Building libraries, backtesting, machine learning, data cleaning, intraday trading etc.
· Conducting alpha research independently, and also helping the team with alpha research as required
REQUIREMENTS
· Bachelor's degree or the equivalent in Quantitative Finance, Finance, Economics, Mathematics, Engineering or various scientific subjects from a reputable university.
· 0 -3 years of working experience, and internship experience(s) within the finance sector would be strongly preferred
· Coding experience in Python. Familiarity with other languages are a plus
· Ambitious and commercial savvy. Professional demeanour with an eagerness to learn
· Location preference to be in Singapore
Tell employers what skills you haveMachine Learning
Asset Management
Oral Communication Skills
Quantitative Research
Mathematics
Economics
Quantitative Finance
Trading Strategies
Python
Bioinformatics
Capital
Arbitrage
Publications
Laboratory
Equities