We are seeking an AI Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced AI workflows and tools. The role offers a unique opportunity to work on cutting-edge technologies that directly impact our investment strategies. Design and implement systems incorporating large language models (LLMs), vector databases, and other artificial intelligence tools for a variety of quant research applications, including literature review, data search, and code generation.Deploy, monitor, and enhance AI systems, ensuring that solutions are scalable.Partner with portfolio quant researchers to develop AI tools that address specific market opportunities and challenges.Stay abreast of the latest AI developments, contributing to internal thought leadership and pushing the envelope of what can be achieved.Deploy AI models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds.Identify potential risks related to AI and ensure appropriate safeguards are in place, especially with regard to model bias and robustnessRequirementsMinimum 2 years of hands-on experience working with LLMs, AI or deep learning in a high-performance environmentExperience working with large-scale datasets and deploying machine learning models in productionKnowledge of modern NLP techniques and frameworks (e.g., tokenizers, transformers, embedding models.)Familiarity with machine learning platforms and tools (e.g., PyTorch, HuggingFace, OpenAI)Strong understanding of algorithmic trading and financial data is a plusExcellent problem-solving abilities, with the capacity to translate complex business requirements into innovative technical solutionsBenefitsCompetitive salary plus bonus based on performanceCollaborative, casual, and friendly work environment
We are seeking an AI Engineer to join our team. The successful candidate will play a critical role in developing, optimizing, and deploying advanced AI workflows and tools. The role offers a unique opportunity to work on cutting-edge technologies that directly impact our investment strategies.
- Design and implement systems incorporating large language models (LLMs), vector databases, and other artificial intelligence tools for a variety of quant research applications, including literature review, data search, and code generation.
- Deploy, monitor, and enhance AI systems, ensuring that solutions are scalable.
- Partner with portfolio quant researchers to develop AI tools that address specific market opportunities and challenges.
- Stay abreast of the latest AI developments, contributing to internal thought leadership and pushing the envelope of what can be achieved.
- Deploy AI models in production environments, ensuring seamless integration with existing infrastructure and real-time market data feeds.
- Identify potential risks related to AI and ensure appropriate safeguards are in place, especially with regard to model bias and robustness
Requirements
- Minimum 2 years of hands-on experience working with LLMs, AI or deep learning in a high-performance environment
- Experience working with large-scale datasets and deploying machine learning models in production
- Knowledge of modern NLP techniques and frameworks (e.g., tokenizers, transformers, embedding models.)
- Familiarity with machine learning platforms and tools (e.g., PyTorch, HuggingFace, OpenAI)
- Strong understanding of algorithmic trading and financial data is a plus
- Excellent problem-solving abilities, with the capacity to translate complex business requirements into innovative technical solutions
Benefits
- Competitive salary plus bonus based on performance
- Collaborative, casual, and friendly work environment
Trexquant applies quantitative methods to systematically build optimized global market-neutral equity portfolios in liquid markets. Trading signals (Alphas) are developed from thousands of data variables and extensively tested. Strategies dynamically adjust allocations to Alphas depending on recent performance. Thousands of strategies using tens of thousands of signals currently drive our live production, and our talented team of researchers from some of the best schools in the world inject new ideas into our system on an ongoing basis. Capital is managed across thousands of equity positions in the United States, Europe, Japan, Australia, and Canada.
Trexquant applies quantitative methods to systematically build optimized global market-neutral equity portfolios in liquid markets. Trading signals (Alphas) are developed from thousands of data variables and extensively tested. Strategies dynamically adjust allocations to Alphas depending on recent performance. Thousands of strategies using tens of thousands of signals currently drive our live production, and our talented team of researchers from some of the best schools in the world inject new ideas into our system on an ongoing basis. Capital is managed across thousands of equity positions in the United States, Europe, Japan, Australia, and Canada.
