Lead Data Scientist

Join a team where you can play a crucial role in shaping the future of a world-renowned company and make a direct and meaningful impact in a space designed for top performers.

As a Lead Data Scientist at JPMorgan Chase within the Cybersecurity and Technology Controls organization, you are an integral part of an agile team that works to deliver software solutions that satisfy pre-defined functional and user requirements with the added dimension of preventing misuse, circumvention,, and malicious behavior.

Drive significant business impact through your capabilities and contributions and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of cybersecurity challenges that span multiple technology domains.

Job responsibilities:


* Work closely with Cyber Technology Group's subject matter experts (SMEs) to align data science initiatives with cybersecurity objectives.


* Extract, analyze, and interpret data from JPMC data sources, assessing the effectiveness and precision of new data sources and data collection techniques.

Leverage big data technologies to handle and process large-scale datasets efficiently.


* Develop bespoke data models and algorithms tailored to meet the specific needs of the Cyber Technology Group's requirements and apply them to data sets while developing and employing the company's A/B testing framework to assess model quality.


* Apply advanced principles, theories, and concepts in the realm of Artificial Intelligence (AI), Machine Learning (ML), Large Language Models (LLMs), Deep Learning (DL), Generative AI, Transfer Learning, and Reinforcement Learning algorithms to cyber data sets.


* Coordinate with various functional teams to implement models and track results


* Establish robust processes and tools for monitoring model performance using industry standard metrics and data accuracy, ensuring continuous improvement.

Assess and select suitable Large Language Model (LLM) tools and models for diverse tasks, focusing on parameter-efficient, mixture-of-expert, and instruction methods.


* Curate custom datasets and fine-tune LLMs to enhance their performance and applicability.


* Design and develop advanced LLM prompts, Retrieval-Augmented Generation (RAG) solutions, and intelligent agents for LLMs.

Conduct experiments to push the capability limits of LLM models and enhance their dependability.


* Orchestrate multiple models and develop innovative approaches for handling sparse-data situations, and develop custom models when suitable models are unavailable in JPMC's inventory, from suppliers, or in the open-source domain.


* Leverage LLM APIs to automate routine and complex cyber operational tasks, enhancing efficiency and response times, and integrate LLM-driven automation into existing cybersecurity frameworks to streamline operations and reduce manual intervention.


* Continuously evaluate and refine LLM API usage to ensure alignment with evo...