Technical Lead Remote work

Newly founded, AGITProp is an AI-driven quant research firm that is pushing the boundaries of algorithmic trading. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive and integrated approach. At AGITProp, we are leveraging the latest advances and insights from foundation and large language models (LLM) to build novel models across multiple modalities. We have ambitious growth plans and are searching for the best and brightest minds from across tech and finance to help us achieve our aim. The ideal candidate will have a strong foundation in software engineering and quantitative finance, with a passion for developing and implementing complex trading models. Develop and maintain robust, scalable trading models and systems using Python or C++. Design and develop risk management systems, order management systems, and backtesting frameworks to support trading operations. Conduct thorough code reviews to ensure code quality, efficiency, and adherence to best practices. Continuously optimize existing systems and models for performance, scalability, and reliability, employing rigorous testing methodologies. Work closely with quants and other engineers to understand requirements and deliver high-quality solutions that meet the needs of the business. Work closely with other teams to ensure alignment and efficient project execution. Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Strong proficiency in Python, C++ (or other relevant languages). Solid understanding of quantitative finance principles, including financial modeling, risk management, and trading strategies. Experience in designing and developing risk management, order management, and backtesting frameworks. Advanced degree in a quantitative field (e.g., Masters, PhD). Experience with big data technologies and data management. At AGITProp, we believe the power of AI lies in its diversity, just like the teams who build it. We have several openings and would love to speak to anyone who has a background in quantitative finance and AI.