Bukit Merah - Sector Data Scientist
About International Equities
Citadel International Equities is one of Citadel’s four equities businesses with leadership and central operations teams in both Europe and Asia. Our investment teams seek to form a deep understanding of each company’s strategy, management team, drivers of performance and cyclical and secular industry trends before making an investment.
https://www.citadel.com/investment-strategies/citadel-international-equities/
Sector Data Scientist
Citadel is focused on acquiring, cleaning, and analyzing large, unstructured data sets to generate new insights. Given the vast amount of data being produced, Citadel is implementing new research methodologies to identify significant trends. The Sector Data Analysts group within Citadel International Equities is committed to generating sustained alpha using a scientific approach to generate fundamental investment insights.
Key Responsibilities:
- Coordinate with investment teams to understand their investment approach, and how data can support their research processes
- Assist investment teams in understanding the key data drivers of companies and sectors
- Analyze data from multiple sources to test complex investment theses
- Quickly digest data, recognize inflection points, and determine data relevancy to the investment question at hand
- Deliver high quality research to investment teams in a clear and digestible manner
- Work with existing and new data sets to push significant ideas and decision support tools to investment teams
Background requirements:
- Intellectual curiosity with a genuine interest in investment
- Professional demeanor, a capability to learn, think, and react quickly, along with exceptional communication and presentation skills as required for interaction with investment teams
- Ability to consume sell side reports, understand fundamental investment theses & identify crucial data points
- Creativity/ability to innovate, combined with a strong work ethic and organizational skills to efficiently handle demanding workload
- Self-reliant and possessing good common sense
- Comfort identifying, analyzing, and presenting novel data that is unique and useful
Required Skills:
- Advanced knowledge of Python (including Pandas) and SQL
- Strong background in statistical modelling
- Strong analytical and quantitative skills
- Experience working with large, unstructured data sets
- Experience in the investment management industry
- Proficiency with Excel
Desired:
- Experience using Bloomberg