Summer Associate, Commodities

4 weeks ago


Singapore Balyasny Asset Management L.P. Full time

Description Summary


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:

Our summer associate will be working with the Power Team, which engages in trading electricity in the short-term markets. The energy sector faces constant changes due to the ongoing increase in renewables, the phase-out of fossil energy, changes in regulation, and the growing share of algorithmic trading. Consequently, curiosity, adaptability and foresight are essential skills to stay ahead in this space. The associate is therefore expected to learn quickly in a fast-paced environment and contribute meaningfully to the team’s performance. You will be exposed to a steep learning curve through our mentorship program and will take responsibility from the start. This position offers a unique blend of analytical challenges and real-world business experience, ideal for someone eager to make an impact in the commodity trading space.


Key Responsibilities:

  • Monitor market conditions, including prices, supply and demand dynamics, and regulatory changes
  • Assist with analysis projects, prototyping and back-testing quantitative models
  • Collaborate with other team members to develop market forecasts and trading strategies
  • Participate in the development of innovative trading tools


Qualifications and requirements:

  • Bachelor’s degree in Finance, Economics, Engineering, or STEM related field, with a strong academic record and flair for numbers.
  • Programming experience in Python in the context of data analysis, with the ability to test ideas and models
  • Knowledge of statistics, including time series analysis and regressions
  • Problem solving skills and ability to identify and implement appropriate solutions
  • Focus on results
  • Strong passion and interest in career in trading, analytics, or energy
  • Ability to thrive in a fast-paced environment, strong work ethics and a proactive attitude
  • Strong written and verbal communication skills
  • Fluent in English and either Chinese or Japanese


We offer:

  • Steep learning curve based on our mentorship program
  • Exposure to senior leadership and access to industry leading tolls and technologies
  • Ability of gaining hands on experience and taking responsibility from early start
  • Ability of conversion to full time position upon the graduation in case of final year students


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