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Machine Learning Researcher
- New York, New York, United States
- New York, New York, United States
Über
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.
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Sprachkenntnisse
- English
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