Goliath Partners
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This range is provided by Goliath Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $2,000,000.00/yr - $3,000,000.00/yr
Additional Compensation Types Annual Bonus and Sign-on bonus. Deferred Bonuses, Sign On bonuses, and Discretionary Bonuses are all excluded from this range but still in the picture.
Role The firm is looking for a new Quantitative Researcher to join their more modestly sized HFT - Intraday Equities team. The role will be onsite in NYC. This will be a unique opportunity to be a contributing member and add a new layer to an already very productive desk.
Responsibilities
Design, implement and maintain software for strategy optimization.
Implement new alphas for trading strategies.
Maintain, enhance and grow the firm’s portfolio of automated electronic trading strategies within the platform.
Utilize ML and Data Science to develop and improve modelling across futures/ equities.
Essential Skills
Experience with designing and implementing strategies for futures or equities.
Machine learning & data science experience.
Experience in C++/ Python – must have.
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Finance, Research, and Engineering. Industries: Capital Markets, Market Research, and Research Services
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This range is provided by Goliath Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base Pay Range $2,000,000.00/yr - $3,000,000.00/yr
Additional Compensation Types Annual Bonus and Sign-on bonus. Deferred Bonuses, Sign On bonuses, and Discretionary Bonuses are all excluded from this range but still in the picture.
Role The firm is looking for a new Quantitative Researcher to join their more modestly sized HFT - Intraday Equities team. The role will be onsite in NYC. This will be a unique opportunity to be a contributing member and add a new layer to an already very productive desk.
Responsibilities
Design, implement and maintain software for strategy optimization.
Implement new alphas for trading strategies.
Maintain, enhance and grow the firm’s portfolio of automated electronic trading strategies within the platform.
Utilize ML and Data Science to develop and improve modelling across futures/ equities.
Essential Skills
Experience with designing and implementing strategies for futures or equities.
Machine learning & data science experience.
Experience in C++/ Python – must have.
Seniority Level Mid-Senior level
Employment Type Full-time
Job Function Finance, Research, and Engineering. Industries: Capital Markets, Market Research, and Research Services
#J-18808-Ljbffr