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. About the Role We are seeking an experienced and highly skilled Senior Quant to join our team. In this role, you will be responsible for developing, implementing, and maintaining cutting-edge quantitative trading models, strategies, and algorithms. You will work closely with our trading, AI, and engineering teams to ensure the seamless integration of your quantitative models into our trading systems. The ideal candidate will possess a strong background in quantitative finance, statistics, and programming, with a demonstrated ability to develop and apply complex mathematical models to real-world financial market scenarios. Responsibilities Develop, implement, and maintain sophisticated quantitative trading models, strategies, and algorithms, ensuring their efficacy and alignment with the funds objectives. Collaborate with the trading and AI teams to integrate quantitative models into the trading system, identifying potential synergies and areas for improvement. Perform rigorous backtesting and validation of quantitative models, ensuring their robustness, accuracy, and generalizability. Analyze large and complex financial datasets, identifying patterns, trends, and market inefficiencies that can be exploited through quantitative strategies. Continuously monitor and evaluate the performance of deployed quantitative models, making necessary adjustments and optimizations to maximize returns and minimize risk. Stay current with the latest advancements in quantitative finance, machine learning, and relevant technologies, and proactively suggest improvements and innovations to the teams processes and tools. Requirements Masters or Ph.D. degree in Quantitative Finance, Financial Engineering, Applied Mathematics, Statistics, or a related field. A minimum of five years of experience in quantitative finance or a related role, with a focus on developing and implementing quantitative trading models and strategies. Strong proficiency in Python, R, or similar languages, with experience in relevant quantitative finance libraries and frameworks. In-depth understanding of financial markets, instruments, and risk management principles, as well as the unique challenges and requirements associated with quantitative trading. Excellent analytical, problem-solving, and statistical skills, with the ability to develop and apply complex mathematical models to real-world financial market scenarios. Exceptional communication and collaboration skills, with the ability to work effectively in cross-functional teams. We appreciate there isn’t a lot of information to go off from a company perspective. However, we can be very open about this and what we are looking to achieve throughout the screening and interview phase of the recruitment process. At AGITProp, we believe the power of AI lies in its diversity, just like the teams who build it. We are committed to fostering a welcoming and inclusive environment where individuals from all backgrounds and experiences can thrive. We understand that a diverse workforce leads to richer perspectives, more innovative solutions, and ultimately, better results. If this position is something that you are interested in, to apply, please submit your resume, brief cover letter, and any relevant publications or research work that might be of interest. If this role isn’t exactly what you are looking for but feel you could add value and are interested in hearing more, please check out any other relevant roles across the company. We have several openings and would love to speak to anyone who has a background in quantitative finance and AI.