DRW is a diversified trading firm with over 3 decades of experience bringing sophisticated technology and exceptional people together to operate in markets around the world. We value autonomy and the ability to quickly pivot to capture opportunities, so we operate using our own capital and trading at our own risk.
Headquartered in Chicago with offices throughout the U.S., Canada, Europe, and Asia, we trade a variety of asset classes including Fixed Income, ETFs, Equities, FX, Commodities and Energy across all major global markets. We have also leveraged our expertise and technology to expand into three non-traditional strategies: real estate, venture capital and cryptoassets.
We operate with respect, curiosity and open minds. The people who thrive here share our belief that it’s not just what we do that matters–it's how we do it. DRW is a place of high expectations, integrity, innovation and a willingness to challenge consensus.
As an AI Research Scientist at DRW, you will be an integral member of a collaborative research team solving the financial markets. You’ll work on high-impact machine learning (ML) and artificial intelligence (AI) projects central to our core business. In this role, you will build AI and ML models to understand and predict financial markets and discover innovative methods to challenging technology and trading problems.
Key Responsibilities:
- Develop and implement state-of-the-art machine learning algorithms and techniques to analyze large volumes of data, extract meaningful insights, and/or make predictions.
- Maintain and enhance existing AI models, incorporating new data sources and refining methodologies for improved accuracy and efficiency.
- Collaborate with other AI researchers, traders, quantitative researchers, and data scientists to identify high-impact opportunities in trading.
- Design and execute experiments to validate the effectiveness of AI models, ensuring robust performance and adaptability to various financial market conditions.
- Stay up-to-date with the latest advancements in AI and ML research and integrate innovative solutions into our workflows.
- Collaborate with data and engineering teams to ensure seamless integration of AI models into production environments.
Qualifications:
- PhD in deep learning, machine learning, artificial intelligence, or a related technical discipline
- Strong publication track record in top ML venues like ICML, ICLR, NeurIPS, CVPR, ICCV, ACL, EMNLP, etc.
- 5+ years of hands-on experience with Transformer architectures (LLMs, ViTs etc.) in both research and applied environments
- Prior experience in pre-training foundation models from scratch and fine-tuning them for different applications
- Proven track record of achieving significant research and product milestones in high-speed, dynamic settings
- Proficiency with machine learning frameworks such as PyTorch, Jax, TensorFlow, etc.
- Clear vision and deep understanding of the future trends in generative AI
- Expertise in data curation methods, such as training set development, ablation studies, etc.
- Willingness to collaborate in a multidisciplinary team.
- Interest in finance and trading. No experience required.
The annual base salary range for this position is $170,000 to $240,000, depending on the candidate’s experience, qualifications, and relevant skill set. The position is also eligible for an annual discretionary bonus. In addition, DRW offers a comprehensive suite of employee benefits including group medical, pharmacy, dental and vision insurance, 401k (with discretionary employer match), short and long-term disability, life and AD&D insurance, health savings accounts, and flexible spending accounts.
For more information about DRW's processing activities and our use of job applicants' data, please view our Privacy Notice at https://drw.com/privacy-notice.
California residents, please review the California Privacy Notice for information about certain legal rights at https://drw.com/california-privacy-notice.
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