Goliath Partners
Alpha Quantitative Researcher – Equities (HFT – Intraday)
Goliath Partners has retained an exclusive role with a concealed HFT Futures Proprietary Trading firm located in NYC. We are looking for an experienced Quantitative Researcher to join their modestly sized HFT Intraday Equities team. The position is onsite in NYC.
Role Overview The successful candidate will be a contributing member, adding a new layer to an already very productive desk. Primary responsibilities include:
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 machine learning and data science to develop and improve modelling across futures and equities.
Essential Skills & Qualifications
MS or PhD in Statistics, Mathematics, Computer Science, Physics, or a similarly related field.
Experience designing and implementing strategies for futures or equities.
Strong machine learning and data science background.
Proficiency in C++ and Python – required.
Compensation Compensation budget capped at $2.5M in year one (base + guaranteed bonuses) with rare exceptions. The firm recently began offering 2‑year guarantees. Deferred bonuses, sign‑on bonuses, and discretionary bonuses are excluded from this range but are still in play.
Other Details Visa sponsorship available. Will pay 75 % of the lost bonus as compensation for a lengthy non‑compete. Candidates must be comfortable waiting out the non‑compete period.
To apply, please submit your application; Goliath Partners will be in touch.
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Role Overview The successful candidate will be a contributing member, adding a new layer to an already very productive desk. Primary responsibilities include:
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 machine learning and data science to develop and improve modelling across futures and equities.
Essential Skills & Qualifications
MS or PhD in Statistics, Mathematics, Computer Science, Physics, or a similarly related field.
Experience designing and implementing strategies for futures or equities.
Strong machine learning and data science background.
Proficiency in C++ and Python – required.
Compensation Compensation budget capped at $2.5M in year one (base + guaranteed bonuses) with rare exceptions. The firm recently began offering 2‑year guarantees. Deferred bonuses, sign‑on bonuses, and discretionary bonuses are excluded from this range but are still in play.
Other Details Visa sponsorship available. Will pay 75 % of the lost bonus as compensation for a lengthy non‑compete. Candidates must be comfortable waiting out the non‑compete period.
To apply, please submit your application; Goliath Partners will be in touch.
#J-18808-Ljbffr