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Deep understanding of cybersecurity principles, including insider threat detection, data protection, access controls, and detection and response platforms. Required qualifications, capabilities and skills Bachelor's degree in computer science, engineering, business administration, or related field Demonstrated delivery of successful technology insider threat detection programs Proven experience in product management or related roles, with a focus on cybersecurity, intelligence and insider threat detection.
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QUALIFICATIONS: Minimum education and experience required: Master's degree in Finance, Economics, Quantitative Finance, Engineering, Physics, Computer Science, Mathematics, or related field of study plus 3 years of experience in the job offered or as a Risk Program Associate, Business Analyst, Qualitative Model Validation, Research Assistant, or related occupation.
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We are HR Data and Analytics, a centralized global team responsible for all aspects of workforce data strategy, analytics, reporting, data governance, and AI/ML solutions. As an Insights & Product Delivery Lead in our HR Data & Analytics team, you are not only strong in both quantitative skills and business acumen, but also a great collaborator with your team members and internal clients.
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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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Our Corporate Technology Machine Learning team at JPMorgan Chase focuses on solving challenging business problems such as Anti-Money Laundering and Surveillance through data science and machine learning techniques across Risk, Compliance, Conduct and Operational Risk. As a Lead Data Scientist on the team, you'll shape the technology solutions that drive strategic initiatives across the firm.
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Knowledge of data science (e.g. Machine learning), analytics platform (e.g. Alteryx) and data visualization tool (e.g. Tableau) will be advantageous. With core valuation processes largely delivered through dedicated technology and quantitative research resources, the team focusses on insightful analysis leveraging multiple market data sources through advanced analytics platforms.
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2025 Data Science Analyst Program - Summer Analyst Join our Data & Analytics team at JPMorgan Chase, a place where innovative problem-solvers power our global business with insights and analytic solutions.
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Integrate data analytics, product metrics, user experience research, competitive and market analysis, and company goals to drive prioritization of product initiatives Required qualifications, capabilities, and skills 7+ years of experience in digital, program management, product management, and Agile practices and principles Ability to think strategically and to connect the dots to the bigger picture, while still comfortable diving into the details required to ensure successful execution.
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Minimum education and experience required: Master’s degree in Computer Information Systems, Computer Science, or related field of study plus 5 (Five) years of experience in the job offered or as Data Architect, Software Developer, Software Designer, or related occupation.
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Master's or PhD in computational Linguistics, Data Science or related fields. Partners closely with Annotation Lead to review and optimize training data and enable meaningful and measurable outcomes.
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Advanced degree in analytical field (e.g., Data Science, Computer Science, Engineering, Applied Mathematics, Statistics, Data Analysis, Operations Research) As an Applied AI/ML Senior Associate within our dynamic team, you will apply your quantitative, data science, and analytical skills to complex problems.
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Our team unifies data and analytics talent across the firm, covering a range of disciplines such as data science, reporting, quantitative analytics, and data governance. As a Data Science Lead, Vice President within the Data & Analytics team, you will be a crucial part of the engine that provides us with insights to create competitive advantages for our business and deliver value for our customers.
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Collaborate with cross-functional teams, including Decision Science, Product, Marketing and Technology. Analyze data to uncover trends, forecast outcomes, and provide actionable insights.
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You will work on projects that focus on machine learning, business intelligence, data engineering, and/or visualization, delivering excellence at the intersection of data science, research and business domain expertise.
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