香港实习 - BAM招Quantitative Analyst，计算机科学/金融/数学或STEM相关领域！
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POSITION
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公司简介
Balyasny Asset Management L.P. (BAM) founded in 2001, is an institutional investment firm dedicated to delivering consistent, uncorrelated absolute returns in all market environments. BAM has offices in Chicago, New York, Greenwich, San Francisco, Boston, Austin, Miami, Toronto, Hong Kong, Singapore, Tokyo and London.
At BAM, we are our talent. We are a growing firm that offers a multitude of professional opportunities. Through BAM’s selective hiring process, we target the best and brightest in the business, and strive to create an environment which attracts and retains top talent. Maintaining a culture where people are energized to come to work is paramount to our success. Our team is motivated to perform each and every day.
With 1500+ 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.
As a result, BAM has built a reputation as a firm that provides the tools necessary for talented individuals to achieve their goals and reach their highest potential.
Quantitative Analyst – Commodities Investment Team (Summer Internship)
工作城市：
香港
职位描述：
OVERVIEW
The BAM Commodities business is looking for Quantitative Analyst Interns to work on all facets of portfolio management directly with senior investors. The ideal candidate will have a quantitative background, experience coding in python, and familiarity with Excel. A plus for candidates with experience commodities products. Strong interest commodities is a must. This is a unique opportunity to work and learn in a dynamic team setting and get exposure to the various asset classes and products of Commodities.
RESPONSIBILITIES
The Quantitative Analyst intern is expected to contribute meaningfully to portfolio management teams over the summer and learn quickly in a fast-paced environment. Example project work includes:
- Work on data analysis projects, prototyping and back-testing that have direct influence on trade idea generation
- Generate and implement ideas for improvement of existing strategies and optimize current portfolio
- Help build market monitors and relative value reports to identify and track new trades
- Develop models on market-relevant topics, e.g. economic data, forecast prices, market products, supply / demand models
QUALIFICATIONS & REQUIREMENTS
- Rising junior undergrad or 1st Year Master’s Student in quantitative field with a December 2024 or May 2025 graduation date. Bachelor’s in computer science, finance, mathematics, or other STEM related fields.
- Programming experience in Python in the context of data analysis, with the ability to test ideas and develop infrastructure for further research
- Understanding and exposure to options, derivatives, equity index futures, commodity futures, fixed income futures, interest rates swaps, supply and demand and foreign currencies
- Knowledge of statistics, including time series analysis and regressions
- Strong organization skills with the ability to present results clearly and iterate with PMs accordingly
The ideal candidate for an intern position will be someone who has or is interested in:
- Strong desire to work collaboratively with the team
- High standard of professionalism in all dealings with internal staff and any external partners, clients and regulatory agencies
- Problem solving skills and ability to identify and implement appropriate solutions
- Ability to prioritize and manage multiple tasks and projects concurrently to meet/exceed deadline
- Strong passion and interest in careers in investment management
- Strong written and verbal communication skills
- Outstanding attention to detail and strong organization skills
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