Quantitative Researcher – Equities

IMC B.V.; Chicago (IL); Vor Ort; USD 175.000 - 275.000; Vollzeit

Benefits dieser Stelle

Discretionary bonus

Paid leave

Insurance

Zusammenfassung

A leading global trading firm in Chicago is seeking experienced quantitative researchers to develop high-frequency equity trading strategies. Responsibilities include improving models, analyzing data, and prototyping new algorithms, with a strong emphasis on collaboration and innovation. Ideal candidates have at least 3 years of relevant experience and a strong academic background. The role offers a competitive salary and performance-based bonuses.

Qualifikationen

• 3+ years experience as a quantitative researcher in equity option or equities space.
• Experience with equity signal generation and predictive modelling required.
• Strong academic results in relevant fields.

Aufgaben

• Understand and improve current models and algorithms.
• Monetize existing algorithms through data analysis.
• Research, test, and prototype new algorithmic ideas.
• Implement validated ideas in full-scale production.

Kenntnisse

Quantitative analysis

Predictive modeling

Data analysis

Python programming

Ausbildung

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

Jobbeschreibung

Overview

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 with the aim 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].

Salary

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

$175,000—$275,000 USD

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.