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Remember to check your CV before applying Also, ensure you read through all the requirements related to this role. Quantitative Research - Athena Analytics Developer - Executive Director, London col-narrow-left Client:Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: f716a8e75b7b Job Views: 4 Posted: 02.06.2025 Expiry Date: 17.07.2025 col-wide Job Description: Quantitative Researchers (QR) are a key part of JP Morgans markets business, developing and maintaining sophisticated mathematical models, cutting-edge methodologies, and infrastructure to value and risk manage financial transactions. They develop these in Athena, a next-generation risk, pricing, and trade management platform built in-house at JP Morgan. Job summary: As an Executive Director within the Quantitative Research Athena and Analytics team, you will focus on cross-asset topics ranging from pricing library and market model design, risk frameworks, UI design to high-performance computing. Athena is designed to enable rapid innovation by offering Quantitative Analysts, Risk Managers, and Technologists a consistent, cross-asset portfolio of models, frameworks, and tools for building financial applications. Its technical innovations include a powerful Dependency Graph implementation, a ubiquitous data store called Hydra, a Real-Time Risk Reporting framework, a robust Deal Model, and an event-driven graph called Reactive. Job responsibilities: Develop Athena (Python) analytics software used for pricing and risk management of financial products. Design efficient, scalable, and usable cross-asset frameworks to establish standards across all QR streams. Optimize code and business processes, providing guidance to quant teams in using frameworks. Support end-users of frameworks, communicating with quant teams and technology groups. Required qualifications, capabilities, and skills: Degree in a quantitative field such as computer science, mathematics, engineering, or physics. Excellent software and algorithm design skills. Passion for software design and high-quality coding. Experience with pricing libraries and risk management systems. Understanding of trade lifecycle, MTM, PnL, and related processes. Excellent communication skills, both oral and written. Preferred qualifications, capabilities, and skills: Knowledge of finance or quantitative finance. Experience writing high-quality Python code.

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