Newly founded, AGITProp is an AI-driven quant researchfirm that is pushing the boundaries of algorithmic trading. Quantfirms have leveraged AI and ML for years, but the increasingcomplexity and scale of global markets demand a more comprehensiveand integrated approach. At AGITProp, we are leveraging the latestadvances and insights from foundation and large language models(LLM) to build novel models across multiple modalities. We haveambitious growth plans and are searching for the best and brightestminds from across tech and finance to help us achieve our aim.About the Role We are seeking an experienced and highly skilledSenior Quant to join our team. In this role, you will beresponsible for developing, implementing, and maintainingcutting-edge quantitative trading models, strategies, andalgorithms. You will work closely with our trading, AI, andengineering teams to ensure the seamless integration of yourquantitative models into our trading systems. The ideal candidatewill possess a strong background in quantitative finance,statistics, and programming, with a demonstrated ability to developand apply complex mathematical models to real-world financialmarket scenarios. Responsibilities - Develop, implement, andmaintain sophisticated quantitative trading models, strategies, andalgorithms, ensuring their efficacy and alignment with the fund'sobjectives. - Collaborate with the trading and AI teams tointegrate quantitative models into the trading system, identifyingpotential synergies and areas for improvement. - Perform rigorousbacktesting and validation of quantitative models, ensuring theirrobustness, accuracy, and generalizability. - Analyze large andcomplex financial datasets, identifying patterns, trends, andmarket inefficiencies that can be exploited through quantitativestrategies. - Continuously monitor and evaluate the performance ofdeployed quantitative models, making necessary adjustments andoptimizations to maximize returns and minimize risk. - Stay currentwith the latest advancements in quantitative finance, machinelearning, and relevant technologies, and proactively suggestimprovements and innovations to the team's processes and tools.Requirements - Master's or Ph.D. degree in Quantitative Finance,Financial Engineering, Applied Mathematics, Statistics, or arelated field. - A minimum of five years of experience inquantitative finance or a related role, with a focus on developingand implementing quantitative trading models and strategies. -Strong proficiency in Python, R, or similar languages, withexperience in relevant quantitative finance libraries andframeworks. - In-depth understanding of financial markets,instruments, and risk management principles, as well as the uniquechallenges and requirements associated with quantitative trading. -Excellent analytical, problem-solving, and statistical skills, withthe ability to develop and apply complex mathematical models toreal-world financial market scenarios. - Exceptional communicationand collaboration skills, with the ability to work effectively incross-functional teams. We appreciate there isn’t a lot ofinformation to go off from a company perspective. However, we canbe very open about this and what we are looking to achievethroughout the screening and interview phase of the recruitmentprocess. At AGITProp, we believe the power of AI lies in itsdiversity, just like the teams who build it. We are committed tofostering a welcoming and inclusive environment where individualsfrom all backgrounds and experiences can thrive. We understand thata diverse workforce leads to richer perspectives, more innovativesolutions, and ultimately, better results. If this position issomething that you are interested in, to apply, please submit yourresume, brief cover letter, and any relevant publications orresearch work that might be of interest. If this role isn’t exactlywhat you are looking for but feel you could add value and areinterested in hearing more, please check out any other relevantroles across the company. We have several openings and would loveto speak to anyone who has a background in quantitative finance andAI.
