Masters degree or higher in Statistics, Mathematics or Applied Mathematics, Computational Mathematics, Finance, Financial Engineering, Economics, or any related field of study, plus at least three 3 years of experience in the job offered or in any related positions.br br Qualified candidates must also have demonstrable knowledge, experience, skill and proficiency with the followingbr br 1. Statistical modeling using financial databr 2. Bloomberg terminal or similarbr 3. Demonstrating experience utilizing Python notebooks and scripting to perform data analysis.br 4. Demonstrated experience analyzing financial metrics and forecasting of returns including Tstat, Zscore, significance tests and MonteCarlo simulations.br 5. Onboarding and studying large datasets and performing data parsing, cleaning, and modeling.br 6. Using linearquadratic programming.br 7. Linux to process data, build quantitative frameworks, and develop models.br 8. Machine learning.br 9. Futures data and strategies, high frequency trading, and CME exchange data and protocols.br br No travel; no telecommuting.
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