Quantitative Researcher – Equities

IMC Trading; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Discretionary bonus

Paid leave

Insurance

Job summary

IMC Trading seeks experienced quantitative researchers to develop high-frequency, low-latency equity trading strategies and predictive models. You will join a team applying IMC’s options expertise to signals in equities, performing large-scale data analysis to predict market behavior for production trading across options and equities.

The role emphasizes building a robust research-to-production framework, collaborating with developers, and delivering timely, scalable research insights to enhance

Qualifications

• 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, preference in mathematics, science, financial engineering or computer science
• Experience working on a market making system, preferably in a more automated environment [preferred]

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

Skills

Equity signal generation

Predictive modelling

Python

Market making systems

Education

Graduate/postgraduate degree

Job description

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, preference in mathematics, science, financial engineering or computer science
• Experience working on a market making system, preferably in a more automated environment [preferred]

#LI-DNP

The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.

Salary Range

$250,000—$300,000 USD

About Us

IMC is a research-driven trading firm where quantitative modeling, machine learning, and engineering shape how modern markets are traded. A stabilizing force in markets since 1989, we provide liquidity across trading venues, delivering the best outcome in value and risk management to investors. Using our own technology and capital, we build proprietary systems and algorithms that operate across global markets. Our researchers, traders, and engineers work as a collective, combining rapid experimentation, advanced infrastructure, and real-time feedback to turn insight into execution and execution into advantage.