Quantitative Researcher – Equities

ittihad medical centre; New York (NY); On-site; USD 250,000 - 300,000; Full time

Benefits offered by this job

Discretionary bonus

Paid leave

Health insurance

Job summary

ittihad medical centre in New York is seeking experienced quantitative researchers to develop high-frequency, low-latency equity trading strategies. You will be responsible for large scale data analysis to predict equity market behavior.

The role entails improving existing models, researching new ideas with Python, and implementing them into production. Candidates should have 3+ years in quantitative research and a relevant degree. A competitive salary and bonus are offered.

Qualifications

• 3+ years experience as a quantitative researcher with experience in equity options or equities.
• Strong academic results in relevant field.
• Experience working in a market making system preferred.

Responsibilities

• Understand and improve current models and algorithms.
• Monetize existing algorithms through data analysis.
• Research and prototype new algorithmic ideas with Python.
• Implement validated ideas into production trading.

Skills

Quantitative research

Equity signal generation

Predictive modelling

Data analysis

Python

Education

Graduate or post-graduate degree in mathematics, science, financial engineering, or computer science

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 with 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]

Base Salary Range: $250,000 – $300,000 USD. 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.

About Us

IMC is a global trading firm powered by a cutting‑edge research environment and a world‑class technology backbone. Since 1989, we’ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high‑performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.