As a
Research Engineer , you will play a pivotal role in building scalable research platforms to be used across multiple asset classes and trading strategies. You'll collaborate with quantitative traders and researchers to evaluate and implement new research ideas and approaches across the organization. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
Your Core Responsibilities: - Develop high-throughput, scalable research platforms, with a focus on the interaction between data, ML pipelines and back testing
- Contribute to the development and deployment of deep learning models into production
- Guide tooling to facilitate unconstrained experimentation at a large scale; generalize tooling across asset classes, horizons and trading strategies
- Collaborate with quantitative researchers and traders to investigate and evaluate research ideas and to develop scientific libraries to share findings
- Evaluate and roll out third-party tooling (e.g., MLflow; Neptune; Ray); lead implementation and optimization of our research tools
- Create efficient processes for reproducible research
- Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
Your Skills & Experience: - 5+ years of experience in designing research platforms in trading environments
- Previous experience working with ML methodologies and frameworks such as LLMs, Deep Learning, Neural Networks, etc.
- Software development experience in C++ or Java + proficiency in Python
- Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
- Hands-on experience with ML pipelines in high-performance (real-time, low latency) environments is a strong plus
We use artificial intelligence (AI) tools to assist our recruiting team review applications (for example, to help match applications against job criteria and organize large volumes of submissions). All hiring decisions are made by people, not AI. We continuously monitor our AI tools to ensure they are used responsibly, with appropriate human oversight. Your personal data will be handled in line with applicable privacy and data protection laws. For more information, please see the IMC Privacy Statement. Where legally required, you may have the right to request human review of any AI-assisted decision, to object to the use of AI in your application, or to obtain further information about how your data is processed. To exercise these rights, please contact us at
We use Covey as part of our hiring process for jobs in certain locations. The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: getcovey.com/nyc-local-law-144.
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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-$250,000 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.
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