Top Data & Analytics Jobs
Seeking a Quantum Computing Researcher to work on theory of quantum computation, empirical evaluation, fault-tolerant compilation, quantum error-correction, and financial use cases. Responsibilities include advancing quantum algorithms, collaborating with project teams, and contributing to IP. Requires Ph.D. in Computer Science or related field with research experience in quantum computing.
Apply sophisticated machine learning methods in the Time Series and Reinforcement Learning group at JPMorgan Chase. Develop scalable tools for real-world problems in finance and operations, collaborating with various lines of business. Lead projects from conception to deployment of production-level machine learning applications.
As Vice President in the Machine Learning Scientist - NLP team, responsible for applying advanced ML techniques to tasks like NLP, speech analytics, time series, and recommendation systems. Collaborate with various teams, drive firm-wide initiatives, develop ML models, and contribute to knowledge sharing community. PhD in a quantitative discipline with 3 years of industry experience or MS with 5 years. Strong background in NLP, deep learning, machine learning toolkits, big data, and scalable model training. Experience in designing experiments, intrinsically evaluating model performance, and effective communication.
Featured Jobs
Research, develop, and implement state-of-the-art machine learning models for NLP, speech recognition, time series predictions, and recommendation systems. Collaborate with various teams to deploy solutions and drive firm-wide initiatives. Independently study, research, and experiment with new innovations in machine learning.
As a Vice President for Generative AI, you'll lead the optimization and operation of LLM-based AI products, collaborating across teams to innovate and deliver scalable back-end APIs. Your responsibilities include combining data with AI technology, bridging research and engineering, and designing efficient production architectures.
As a Senior Associate Machine Learning Scientist, you will leverage advanced machine learning techniques to tackle challenges in natural language processing, speech analytics, time series, and recommendation systems. You will collaborate with multiple teams to develop and deploy machine learning models, while also engaging in research and knowledge sharing within the organization.
Join as an Applied AI ML Senior Associate in the Business Modeling organization responsible for developing cutting-edge models in Marketing, Finance, and Operations domains. Utilize advanced analytics to solve complex business problems, generate actionable recommendations, and contribute to the full modeling lifecycle. Required skills include proficiency in Python, SQL, and experience in machine learning, optimization, and statistical modeling.
The Solutions Analyst II will bridge the gap between product owners, business, operations, and developers, focusing on eliciting and documenting requirements, data analytics, and technical solution design. Responsibilities include data-driven decision making, managing project dependencies, and leading process improvements.
The analyst will support the Equity Capital Markets team by conducting industry research, maintaining issuer statistics, preparing pitch books and marketing materials, and assisting with equity performance analysis. Responsibilities also include creating company profiles and supporting senior bankers in live transactions and reports.
As a Control Manager Analyst, you'll analyze risks and controls in the business environment, identify gaps, and ensure operational readiness in new changes. You will collaborate with various teams, execute control strategies, and manage risk mitigation efforts across Operations.
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