Machine Learning Researcher

IMC B.V.; Chicago (IL); On-site; USD 200,000 - 275,000; Full time

Benefits offered by this job

Discretionary bonus

Paid leave and insurance

Job summary

A global trading firm is seeking quantitative researchers to apply state-of-the-art machine learning in solving trading problems. The ideal candidate will have a strong background in ML, statistics, and programming, with responsibilities including designing ML models and collaborating with trading teams. This full-time position offers a competitive salary range of $200,000 to $275,000 USD and a collaborative work environment.

Qualifications

• 2+ years of experience building applied ML models, preferably in a trading environment.
• Proven expertise in developing and deploying predictive models.
• Strong publication track record at ICML, ICLR, NeurIPS, or equivalent.

Responsibilities

• Design and deploy machine learning models to enhance trading performance across various asset classes.
• Research, test, and prototype new algorithmic ideas.
• Collaborate with quantitative traders and researchers to translate insights into data-driven models.

Skills

Machine Learning

Deep Learning

Python programming

Statistical analysis

Data preprocessing

Education

PhD or Master's in Engineering, Math, Statistics, Computer Science, or related field

Tools

PyTorch

TensorFlow

Jax

Job description

IMC Trading is seeking quantitative researchers with a proven track record to apply state-of-the-art machine learning & deep learning to solve challenging trading problems. This role is part of a central ML research team that collaborates across trading teams at IMC. The ideal candidate will have experience working with other researchers and engineers to build and continuously improve models, systems, and research tooling. We firmly believe that success for research-driven efforts lies in bringing together skills in ML, statistics, and trading intuition as well as a problem-solving mindset and pragmatism. This is an opportunity to dive deep into feature engineering and alpha research, and focus on applying a wide range of ML models as well as to perform research on building custom models.

Your Core Responsibilities:

• Design and deploy machine learning models to enhance trading performance across various asset classes
• Research, test and prototype new algorithmic ideas; deploy advanced ML techniques applicable to market prediction, signal generation, and portfolio optimization
• Collaborate with quantitative traders, researchers, and developers to translate market insights into data-driven features and models
• Manage data acquisition, preprocessing, and feature engineering for structured and unstructured data sources

Your Skills and Experience:

• PhD or Master’s in Engineering, Math, Statistics, Computer Science, or related quantitative field
• 2+ years of experience building applied ML models; previous experience in trading environment preferred
• Proven expertise in developing and deploying predictive models
• Strong programming skills in Python; proficiency in ML libraries such as PyTorch, TensorFlow, and/or high-performance libraries like Jax
• Strong understanding of theoretical foundations of state-of-the-art ML models
• Strong publication track record at ICML, ICLR, NeurIPS, or equivalent
• Ability and desire to work in a collaborative team environment
• Excellent written and verbal communication skills

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: $200,000 — $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.