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Quantitative Researcher

  • Full Time, onsite
  • Goliath Partners
  • New York City Metropolitan Area, United States of America
Salary undisclosed

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Hiring is now official Re-Open! Goliath Partners is rekindling our exclusive sourcing pipeline with a scaling HFT/MFT Futures, Equities focused Quant Fund based in New York City.

Role:

The firm is seeking a talented Quantitative Researcher to join a dynamic HFT/MFT Futures/ Equities team Onsite in NYC. This role presents a unique opportunity to contribute significantly to our high-performing desk. This is not just a job; it's a pivotal role within a leading Quant Fund where your contributions will directly impact our success. You'll collaborate with top-tier professionals in a stimulating environment that fosters innovation and growth.

Responsibilities:

  • Design, implement, and optimize software for strategy development.
  • Develop and implement new trading alphas.
  • Maintain and enhance our automated electronic trading strategy portfolio.
  • Utilize machine learning and data science techniques to advance modeling across futures and equities.

Requirements:

  • Advanced Degree in Statistics, Mathematics, Computer Science, Physics, or a related field.
  • Proven experience designing and implementing financial strategies.
  • Strong background in machine learning and data science methodologies.
  • Familiarity with market data simulation.
  • Proficiency in C++ or Python.

Compensation:

Competitive compensation package for the ideal candidate will be a package with a base of $250-300k with guaranteed bonus for y1 for tenured professionals totaling $1.5-1.8M. Additional incentives including deferred bonuses, sign-on bonuses, and discretionary bonuses.

Please Apply and Goliath will be in touch!

Hiring is now official Re-Open! Goliath Partners is rekindling our exclusive sourcing pipeline with a scaling HFT/MFT Futures, Equities focused Quant Fund based in New York City.

Role:

The firm is seeking a talented Quantitative Researcher to join a dynamic HFT/MFT Futures/ Equities team Onsite in NYC. This role presents a unique opportunity to contribute significantly to our high-performing desk. This is not just a job; it's a pivotal role within a leading Quant Fund where your contributions will directly impact our success. You'll collaborate with top-tier professionals in a stimulating environment that fosters innovation and growth.

Responsibilities:

  • Design, implement, and optimize software for strategy development.
  • Develop and implement new trading alphas.
  • Maintain and enhance our automated electronic trading strategy portfolio.
  • Utilize machine learning and data science techniques to advance modeling across futures and equities.

Requirements:

  • Advanced Degree in Statistics, Mathematics, Computer Science, Physics, or a related field.
  • Proven experience designing and implementing financial strategies.
  • Strong background in machine learning and data science methodologies.
  • Familiarity with market data simulation.
  • Proficiency in C++ or Python.

Compensation:

Competitive compensation package for the ideal candidate will be a package with a base of $250-300k with guaranteed bonus for y1 for tenured professionals totaling $1.5-1.8M. Additional incentives including deferred bonuses, sign-on bonuses, and discretionary bonuses.

Please Apply and Goliath will be in touch!