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Quantitative Researcher (Deep Learning)

Job Description - Quantitative Researcher (Deep Learning)

Are you a strong quant researcher with a machine learning background looking to apply your ML specialty on one of the most sophisticated research platforms in the world?

My client's quant research team is looking for talented researchers who can bring machine learning techniques into their core research process, no industry experience required.

If you're ready to put your ML expertise to work on live trading research and are available to start soon, then this is the role for you.

What's the Job?

You'll sit on my client's quant research team, applying machine learning, including deep learning and large language models, directly to the research process. In this role, you will:

  • Conduct research and development in machine learning, with an emphasis on large language models and deep learning applications in quantitative finance

  • Design, implement, and optimize ML models for performance and scalability in a live financial context

  • Collaborate with cross-functional research and trading teams to integrate your ML solutions into trading strategies and business processes

  • Work on models where the output isn't theoretical — it has a measurable, real-world P&L impact

Compensation

Compensation is highly competitive and will be commensurate with experience, including a base salary plus a significant discretionary bonus tied to individual and firm performance.

Qualifications

  • No prior industry experience required, this is an opportunity for strong quant researchers with an ML background to apply that specialty in a live research setting

  • Proficiency in Python and ML frameworks such as PyTorch or TensorFlow

  • Deep knowledge of LLM architectures, including transformers and attention mechanisms

  • Understanding of GPU memory management, precision types, and parallelization techniques

  • Advanced training expertise across pre-training, fine-tuning, RLHF, and DPO

  • Familiarity with Retrieval Augmented Generation (RAG) systems

  • Strong mathematical and statistical foundations, particularly as they apply to quantitative finance

  • Comfort solving open-ended problems and designing end-to-end ML/AI solutions

Location

Miami

Who are They?

My client is a global, technology-driven quantitative trading firm recognized for its leading-edge research and its deep investment in machine learning and AI. Their quant research team sits at the center of the firm's trading strategies, giving researchers the resources and platform to see their ML work translate directly into live impact.

To learn more, apply here today or email me at: [email protected].


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