Data Scientist, Global Quantitative Research
On-siteAtlanta, Georgia, United States
Job Summary
Perform data exploration, statistical analysis, and data preparation for quantitative research, including time series of financial derivatives. Build production-quality software solutions and develop ETL applications to support core quant and risk team data requirements. Diagnose data issues, recommend improvements for reliability and efficiency, and coordinate with research experts to refine data management policies. Manage large datasets across Oracle, Postgres, and Snowflake platforms while providing documentation and presentations on methods and findings. Serve as a liaison between technology, operations, product management, and Financial Engineering teams to engage in innovative research tasks.
Required Qualifications
- Bachelor's degree in Data Science/Analytics, Engineering, Mathematics, Statistics or similar
- Statistical programming experience in Python, R, MATLAB, C/C++ or Java
- Working knowledge of SQL
- Experience working with relational databases
- Ability to work in a high-performance, high-velocity environment
- Strong analytical and organizational skills
- Acute attention to detail
- Strong communication skills
- Customer focused and results oriented
Desired Qualifications
- Post Graduate degree in Data Science, Engineering, Mathematics, Statistics or similar
- Advanced Statistics knowledge related to Time Series
- Experience with code versioning tools such as Git
- Experience in Quantitative Finance and/or Financial Derivatives
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