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Llm ai reseacher

Slough
Selby Jennings
Posted: 25 June
Offer description

About the Client

The client is a global quantitative investment firm that develops and implements systematic financial strategies across diverse asset classes and markets. Their mission is to generate high-quality predictive signals (alphas) using a proprietary research platform, targeting inefficiencies in the financial markets. Collaboration is central to their approach, with teams working together to build the foundation of a balanced, global investment platform.

The client fosters a culture that blends academic rigor with a strong focus on results. Team members are encouraged to think creatively, challenge conventional wisdom, and continuously seek improvement. Innovation is welcomed from all levels of the organization.

They are committed to hiring top-tier talent-individuals with exceptional intellectual capabilities and a passion for solving complex problems. With no fixed roadmap to success, they seek people who can help shape the future.

About the AI Group

AI is a specialized division within the client, operating similarly to a B2C fintech venture. Its mission is to democratize quantitative finance by offering global remote-work opportunities and educational resources in AI, ML, and quant finance. The AI platform enables external contributors to submit signals, data, and other resources through an advanced crowdsourcing model.

Position: AI Researcher - AI Platform

The client is looking for outstanding individuals to join as AI Researchers. This full-time role focuses on cutting-edge research in Artificial Intelligence (AI) and Large Language Models (LLMs), aimed at developing innovative quantitative models for the AI platform.

Key Responsibilities:

* Conduct research in AI and LLMs, exploring advanced architectures such as Transformers, Reinforcement Learning, and Generative AI.
* Design, train, and fine-tune LLMs and other AI models to extract insights and generate predictive signals.
* Apply AI techniques to develop and enhance alphas and other algorithms on the AI platform.
* Analyze large-scale financial datasets using statistical, mathematical, and machine learning methods.
* Collaborate with platform development teams to implement and test new features and datasets.
* Stay current with the latest AI and LLM advancements and explore their applications in quantitative finance.

Qualifications:

* Technical Skills: Proficiency in AI, ML, and LLMs; strong programming skills in Python and C++; experience with PyTorch or TensorFlow.
* Quantitative Background: Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial data is a plus.
* Education: Bachelor's or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or a related field from a top-tier institution.
* Research Orientation: Creative thinker with a passion for experimentation and solving complex problems; strong interest in financial markets.
* Team Collaboration: Excellent communication and presentation skills; ability to thrive in a collaborative, team-oriented environment.
Desired Skills and Experience
Technical Skills: Proficiency in AI, ML, and LLMs; strong programming skills in Python and C++; experience with PyTorch or TensorFlow.
Quantitative Background: Solid foundation in mathematics, statistics, and quantitative modeling; experience with financial data is a plus.
Education: Bachelor's or advanced degree in Computer Science, AI, Mathematics, Financial Engineering, or a related field from a top-tier institution.
Research Orientation: Creative thinker with a passion for experimentation and solving complex problems; strong interest in financial markets.
Team Collaboration: Excellent communication and presentation skills; ability to thrive in a collaborative, team-oriented environment.

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