Quantitative Developer

About us 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 As a Quant Developer, you will be at the intersection of software engineering and quantitative finance, working closely with our quants and other engineers to implement robust and scalable trading models and systems. Your primary focus will be on the development and integration of mathematical models, risk management systems, order management systems, and backtesting frameworks. The ideal candidate will have a strong background in software development, coupled with a solid understanding of quantitative finance principles and a passion for transforming complex models into efficient, production-ready code. Responsibilities Collaborate with quants to transform mathematical models into production-ready code, ensuring seamless integration into the trading infrastructure. Design and develop risk management systems, order management systems, and backtesting frameworks to support trading operations. Continuously optimise 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. Implement and maintain data pipelines and storage solutions to handle large volumes of financial data efficiently. Keep abreast of the latest advancements in quantitative finance, software engineering, and trading technologies, and proactively recommend improvements and enhancements. Conduct post-trade analysis to evaluate the performance of trading models and systems, identifying areas for improvement. Qualifications & Experience Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field; an advanced degree is a plus. A minimum of three years of experience in a software development role, with a focus on quantitative finance or trading systems. Strong proficiency in Python, R, C++, Java, or similar languages, with experience in relevant libraries and frameworks for quantitative finance. Solid understanding of financial markets, asset classes, and trading algorithms, with the ability to translate quantitative concepts into actionable code. Experience in developing risk management systems, order management systems, and backtesting frameworks. Familiarity with big data technologies and data storage/retrieval systems, such as SQL and NoSQL databases. Excellent problem-solving skills, with the ability to work effectively in cross-functional teams and communicate complex technical concepts clearly. Demonstrated ability to stay current with industry trends and advancements, and proactively suggest improvements to processes and tools. 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.