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Quant Trader

3 weeks ago

Downtown Core, Singapore Balyasny Asset Management Full time

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 1300+ people in offices around the world, we embrace a culture that welcomes the free flow of ideas, promotes career development, and supports the health and wellbeing of our people through world-class benefits.

**ROLE OVERVIEW**:
Responsibilities include, but are not limited to:

- Trader working directly alongside a Systematic Portfolio Manager focusing on Quantitative Event-Driven trading
- Design and implement statistical arbitrage trading strategies, from idea generation, strategy back-testing and analysis, portfolio construction to trading execution
- Develop portfolio risk models and monitor the real time portfolio risk profile
- Perform Quantitative Research
- Trade portfolio and monitor production
- Run end of day processes, including organizing trade logs, recording daily P&L and other procedures for compliance purpose
- Clean, maintain, and validate a large amount of security data.
- Ad hoc analytic projects

QUALIFICATIONS:

- Bachelors or Master’s degree in Mathematics, Physics or similar
- Prior training in a quantitative scientific field that uses computational data analysis (e.g., computer science, statistics, applied mathematics, physics, engineering, economics/econometrics, chemistry/biology)
- Prior working experience will be valued but is not required
- Strong analytical and modeling skills
- Knowledge of at least one of the following programming languages: Python, C++, C#, Java, Matlab or equivalent. Python is preferred
- Attention to detail and exceptionally motivated, hard-working, and a self-starter combined with the highest integrity and character

**Job Types**: Full-time, Permanent

Schedule:

- Monday to Friday