Responsibilities: Perform in-depth statistical analysis by applying mathematical or statistical techniques on financial data to identify trends and correlations. Utilize machine learning to uncover patterns in financial time series data and develop predictive models. Create and refine mathematical models to describe financial behavior and optimize risk management. Develop algorithms and code in Python and C++ for statistical analysis and implementing models. Conduct simulations to assess investment strategy performance under various scenarios. Review and integrate large financial datasets, ensuring accuracy and data quality. Research quantitative finance advancements and market changes to enhance analyses. The position is headquartered in Chicago, IL. Educ./experience: Requires a Master’s degree or foreign equivalent in Financial Engineering, Finance, or a related field. Coursework must include Financial Engineering Continuous Time Models, Machine Learning for Financial Engineering and Operations, Computational Methods in Finance, Algorithmic Trading, and Analysis of Algorithms. Quantnet C++ Certificate required. If you are based in California, we encourage you to read the Gelber Privacy Notice for California Employees and Applicants, linked
here
. In compliance with Federal Law, all persons hired will be required to verify identity and eligibility to work in the United States, and to complete the required Employment Eligibility Verification form (Form I-9) at the start of employment. Are you authorized to work lawfully in the United States for Gelber Group?
* -- Will you now or in the future require Gelber Group to commence ("sponsor") an immigration case in order to employ you (for example, H-1B or other employment-based immigration case)? This is sometimes called "sponsorship" for an employment-based visa status.
* -- If you selected “other” please type in your answer. Feel free to add any additional information about how you heard this job, ie referral name, ect
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