You will be part of a newly formed team within the CTO Data Science department at Bloomberg. You will work alongside world-class talent to find innovative solutions to some of the most interesting problems in the Financial Industry. You will work closely with others in the CTO office, Engineering, the Quantitative Research group, and the Product organization to learn about problems their clients face and develop cutting edge solutions to these problems. Your focus will be diving deep into data to develop time series, forecasting models, and quant strategies leveraging state-of-the-art machine learning and advanced statistical methods.
You’ll need to have:
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- 3+ years’ experience working in Quant Finance (research, quantitative/automated trading, or quantmental group).
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- Undergraduate or higher degree in Computer Science, Mathematics, Economics, Operations Research, Econometrics, or another quantitative discipline. Advanced degree or equivalent experience preferred.
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- Ability to clearly communicate research findings to technical and non-technical clients.
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- Experience with Python (preferred), R or C++, as well as Spark, SQL, or other distributed data processing technologies.
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- Experience with scientific computing, time series, panel data, etc..
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- 3+ years of hands-on experience with Machine Learning and Statistics on large, unstructured, data sets.
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- Strong background in statistics, optimization, econometrics, and knowledge of financial markets.
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- Ability to tackle loosely defined problems and a strong disposition to dive deep while maintaining a strategic perspective.
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- Comfortable handling multiple projects to solve varied problems working with multiple teams.
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- Empirical, independent, detail-oriented mindset.
- Sense of ownership of his/her work, working well both independently and within a collaborative team.
