Equity Volatility Quantitative ResearcherBalyasny Asset Management • New York, NY, United States
Equity Volatility Quantitative Researcher
Balyasny Asset Management • New York, NY, United States
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job_description.job_card.job_descriptionMasters' Degree or higher in a quantitative field. Degree courses in computer science, finance, mathematics, econometrics or other quantitative discipline preferred Expert C++ programmer : we use C++17 and would like to move to C++20. Coupled with the ability to produce well-engineered code. Programming experience in Python in the context of data analysis, with the ability to test ideas and develop infrastructure for further research Understanding of listed and OTC markets for equities and equities options as well as volatility index. Experience in local and / or stochastic vol models implementation Knowledge of statistics, including time series analysis and regressions Strong organization skills with the ability to present results clearly and iterate with PMs accordingly Strong desire to work collaboratively with the team High standard of professionalism in all dealings with internal staff and any external partners, clients and regulatory agencies Problem solving skills and ability to identify and implement appropriate solutions Ability to prioritize and manage multiple tasks and projects concurrently to meet / exceed deadline Strong written and verbal communication skills Outstanding attention to detail and strong organization skills
The ideal candidate will :
- Build and maintain pricing models for range of products traded in macro business
- Design and implement processes for live calculation of P&L and risk used by portfolio managers
- Support portfolio managers and analysts in building out bespoke tools using in-house analytics
- Design and implement macro data series for use in analysis and back-testing
- Learn about pricing, risk and calibration for various macro products
QUALIFICATIONS & REQUIREMENTS
The ideal candidate will be someone who demonstrates :
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