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Description Summary
Balyasny Asset Management (BAM) is a global, multi-strategy investment firm with $32 billion in assets under management. We are looking for a Data Analyst to work on a L/S Equity Portfolio Manager team in New York on projects related to data analysis, data-driven idea generation and fundamental research.
RESPONSIBILITIES
- Collaborate with Portfolio Manager and team to brainstorm creative uses for data in the investment process
- Identify, ingest, and analyze cutting-edge alternative datasets – including cleaning, organizing, tagging, indexing, etc.
- Conduct independent research on various new datasets and influence actual trading strategies
- Pinpoint trends, correlations, and patterns in complicated data sets to provide custom solutions to management
- Identify and analyze relevant industry metrics, business rational
- Evaluate new coverage opportunities across Consumer, TMT, and/or Industrials sectors
- Building and maintaining detailed models from scratch
- Design, build and maintain data products that enable you to analyze key performance indicators (KPIs)
QUALIFICATIONS & REQUIREMENTS
- Bachelors/Master’s degree in Computer Science, Mathematics, Statistics, Data Science, or a related field
- 2+ years of experience in a data driven or quantitative role
- Strong analytical and data processing skills (Python/SQL)
- Proficient with data ETL (e.g. Airflow, creating and updating databases) and analysis (familiar with libraries like Pandas, NumPy etc.)
- Experience with large datasets a plus
- Experience with cloud architecture (e.g. AWS, Snowflake etc.)
- Knowledge of data visualization tools
- Self-starter, results-driven attitude with great attention to detail, ability to multitask and think outside of the box
- Ability to explain technical concepts (programming/databases/stats) to less technical audiences
Key Skills
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