Quantitative Researcher – Equities

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

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Salary

$250K-$300K From the posting source checked Jun 20, 2026

401(k) match

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

146% above the BLS role benchmark for data and ml aggregate.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Schedule

Shift type

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Weekend work

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Company

Equity

Offered From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Quantitative Researcher – Equities New York, United States IMC is looking for experienced quantitative researchers to develop high-frequency, low-latency equity trading strategies and predictive models. Candidates will join an effort of combining IMC's extensive options expertise with signals in the underlying equity market. Candidates will be responsible for performing large scale data analysis to derive unique predictions of equity market behavior that will then be leveraged by IMC's best-in-class technology to act on those predictions across both options and equities markets. Once on board, candidates will join a growing team that will be essential to all aspects of IMC's trading. They will contribute not only to signal generation but also work w/ developers in design and implementation of a robust framework that allows for new ideas to be researched, tested, and put into production in a timely manner. Your Core Responsibilities: - Understand the current suite of models and algorithms to make any short-term improvements while building a foundation to further leverage these models - Find innovative ways to monetize existing algorithms through specific deep-dives and broad data analysis - Rapidly research, test, and prototype new algorithmic ideas, preferably with Python - Once validated, see through the high quality implementation of ideas to full-scale production trading Your Skills and Experience: - 3+ years experience as a quantitative researcher with specific experience in the equity option or equities space - Experience with equity signal generation and predictive modelling. [required] - Relevant tertiary qualifications (graduate or post graduate), with strong academic results,

Read the full description at job-boards.eu.greenhouse.io. FewerJobs shows a preview and links to the original posting.