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Lead development and deployment of ML models for trading, drive research and prototyping, oversee data and feature engineering, mentor researchers, and build scalable ML research infrastructure.
IMC Trading is seeking a Machine Learning Research Lead with proven experience applying state-of-the-art machine learning to solve challenging trading problems. This role will drive the development of a centralized ML environment to be used across all areas of trading at IMC. The ideal candidate will have experience working with other researchers, traders, and engineers to build and continuously improve a research platform to drive innovation via ML. 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 focus on applying a wide range of ML models as well as to perform research on building custom models.
Your Core Responsibilities:
Your Skills and Experience:
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Your Core Responsibilities:
- Lead the design, development, and deployment of 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
- Oversee data acquisition, preprocessing, and feature engineering for structured and unstructured data sources
- Mentor junior researchers and contribute to a culture of research excellence and experimentation
- Drive strategic decisions on model architecture, experimentation pipelines, and infrastructure for scalable research
Your Skills and Experience:
- PhD or Master's in Engineering, Math, Statistics, Computer Science, or related quantitative field
- 4+ years of experience building applied ML models; previous experience in trading environment preferred
- Proven expertise in developing and deploying predictive models in low-latency environments
- 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
- Prior people management experience preferred
- Ability and desire to work in a collaborative team environment
- Excellent written and verbal communication skills
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IMC Trading New York, New York, USA Office
IMC Trading New York City Office
New York, New York, United States, 10017
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
