Goliath Partners
Quantitative Researcher
Goliath Partners, Chicago, Illinois, United States, 60290
Goliath has partnered with a new firm that has upwards of $1T AUM, 1000+ employees and is one of the top 5 globally in the quantitative space. They’ll wait up to a 24 month NC and they are willing to buy bonuses out during sit-out periods. With the beginning of 2024, the firm has opened up multiple roles for Quantitative Researchers across a multitude of asset classes/ frequencies
The position will be an addition to an already established research team within a larger technology research group.
Role:
Design, implement and maintain software for strategy optimization (HFT/ Intraday Frequencies)
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 options/ futures/ fixed income.
Essential skills:
BS in Comp Sci/ Mathematics/ Physics or similarly related field.
Experience with designing and implementing strategies for equities, options, futures, ETFs or fixed income.
Machine learning & data science experience.
Market data simulation knowledge
Experience in C++/ Python - must have
Compensation:
Base for the role caps out at $250k with a significant discretionary bonus on top, depending on seniority maxing out at $3M. Sign on bonuses available, as are NC buy outs.
If interested and you believe you would be a good fit, please apply & we'll be in touch.
#J-18808-Ljbffr
The position will be an addition to an already established research team within a larger technology research group.
Role:
Design, implement and maintain software for strategy optimization (HFT/ Intraday Frequencies)
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 options/ futures/ fixed income.
Essential skills:
BS in Comp Sci/ Mathematics/ Physics or similarly related field.
Experience with designing and implementing strategies for equities, options, futures, ETFs or fixed income.
Machine learning & data science experience.
Market data simulation knowledge
Experience in C++/ Python - must have
Compensation:
Base for the role caps out at $250k with a significant discretionary bonus on top, depending on seniority maxing out at $3M. Sign on bonuses available, as are NC buy outs.
If interested and you believe you would be a good fit, please apply & we'll be in touch.
#J-18808-Ljbffr