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Goldman Sachs

GBM Equities - Electronic Market Making Quant Researcher Associate New York

Goldman Sachs, New York

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GBM Equities - Electronic Market Making Quant Researcher Associate New York

Join to apply for the GBM Equities - Electronic Market Making Quant Researcher Associate New York role at Goldman Sachs

GBM Equities - Electronic Market Making Quant Researcher Associate New York

Join to apply for the GBM Equities - Electronic Market Making Quant Researcher Associate New York role at Goldman Sachs

Job Description

GBM Equities - Electronic Market Making Quant Researcher Associate New York
The Electronic Market Making Cash Trading team systematically provides liquidity in US Equities and ETFs, both on-exchange and to low-touch client flow. The team leverages quantitative research combined with low-latency trading infrastructure to develop and implement automated trading and risk management strategies. Were a small team that demands a high level of ownership and accountability from each contributor, while strongly emphasizing collaboration and transparency. We are seeking a dedicated and ambitious researcher who thrives in a challenging environment and wants to make a meaningful impact at the firm.

Job Description
GBM Equities - Electronic Market Making Quant Researcher Associate New York
The Electronic Market Making Cash Trading team systematically provides liquidity in US Equities and ETFs, both on-exchange and to low-touch client flow. The team leverages quantitative research combined with low-latency trading infrastructure to develop and implement automated trading and risk management strategies. Were a small team that demands a high level of ownership and accountability from each contributor, while strongly emphasizing collaboration and transparency. We are seeking a dedicated and ambitious researcher who thrives in a challenging environment and wants to make a meaningful impact at the firm.
Basic Qualifications

  • Bachelor/Masters degree with 2-3 years of experience in researching and modelling complex problems
  • Strong programming skills in Python and associated data science libraries (e.g. numpy, pandas, scikit-learn)
  • Ability to independently structure and model open-ended research questions and drive results forward across end-to-end pipeline from research to production implementation
  • Experience working with large datasets and timeseries analysis, as well as machine learning methodologies
  • Thrives in collaborative setting where ideas are openly discussed and challenged
Preferred Qualifications
  • Experience contributing to large-scale collaborative codebases
  • Experience in designing, modelling and back testing trading strategies
  • Experience working with risk models and portfolio optimization
About Goldman Sachs
At Goldman Sachs, we commit our people, capital and ideas to help our clients, shareholders and the communities we serve to grow. Founded in 1869, we are a leading global investment banking, securities and investment management firm. Headquartered in New York, we maintain offices around the world.
Were committed to finding reasonable accommodations for candidates with special needs or disabilities during our recruiting process. Learn more:
The Goldman Sachs Group, Inc., 2023. All rights reserved.
Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veterans status, disability, or any other characteristic protected by applicable law.
Same Posting Description for Internal and External Candidates
Salary Range
The expected base salary for this New York, New York, United States-based position is $150000-$225000. In addition, you may be eligible for a discretionary bonus if you are an active employee as of fiscal year-end.
Benefits
Goldman Sachs is committed to providing our people with valuable and competitive benefits and wellness offerings, as it is a core part of providing a strong overall employee experience. A summary of these offerings, which are generally available to active, non-temporary, full-time and part-time US employees who work at least 20 hours per week, can be found here .
Seniority level
  • Seniority level
    Associate
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Finance and Sales

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