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Data Scientist - Bi Ficc Strategy
Company | Bloomberg |
Address | New York, NY, United States |
Employment type | FULL_TIME |
Salary | |
Category | IT Services and IT Consulting,Information Services,Financial Services |
Expires | 2023-07-23 |
Posted at | 10 months ago |
At Bloomberg, our products are fueled by powerful information: we combine data and context to paint the whole picture for our clients, around the clock, when it matters! Bloomberg Intelligence creates unique insights which are distributed directly to clients via engaging, and often market moving, articles; unique on-terminal data-sets; internal and externally facing applications; and custom calculators.
- Identify and explore alternative datasets that can help inform on emerging issues and generate new insights.
- Build solutions that can be extended to other coverage areas, such as our Equity Strategy and Companies & Industries franchises, and to other business units including News, our Core Product, and Bloomberg Indices.
- Apply financial modeling at scale to build custom insights about the economy, fixed income and currency markets, and other securities that derive their value from global interest and exchange rates.
- Extend our language models to cover other publications of the Federal Reserve and other significant Central Banks such as the E.C.B. and the Bank of England.
- Test and embed unique asset scores, factors and themes in portfolio strategies and market models.
- Work with a suite of modern data science tools, transform knowledge and apply econometric methods and machine learning algorithms to drive data-driven research for BI FICC Strategy, automate the influx of data, conduct feature engineering, model development and data visualization.
- 4+ years of experience in a quantitative discipline
- A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
- 2+ years of proven ability with Python programming for data analysis and modeling, including familiarity with concepts of software engineering and product development.
- Excellent written and verbal communication and presentation skills.
- Demonstrated proficiency using data and statistical modeling and data pipelining methods to solve real world problems.
- Strong financial market knowledge, including knowledge of accounting principles, interpreting financial statements, quantitative financial analysis and econometric methods as applied in the real world.
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