Top Data & Analytics Jobs in NYC, NY
The Research Analyst will conduct in-depth analysis of securitized products including ABS and CMBS, formulate investment recommendations, monitor market trends, develop predictive models, and mentor junior staff while collaborating with various internal and external stakeholders.
The Machine Learning Engineer will analyze complex datasets, develop and implement models and algorithms, ensure effective data visualizations, manage software deployment in production, strategize risk mitigation, and communicate challenges to senior management. This role requires expertise in machine learning and MLOps, and fosters a collaborative work environment.
As a Quantum Computing Research Scientist, you will advance quantum algorithms for optimization and machine learning, collaborate on project teams, and contribute to research on emerging technologies in finance. Responsibilities also include innovative problem solving and effective documentation of findings.
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The Data Governance Lead-Vice President will develop and enhance governance practices, oversee production of governance materials, manage documentation updates, and ensure alignment with regulatory standards. This role involves crafting presentations, establishing partnerships, analyzing stakeholder feedback, and collaborating with cross-functional teams to drive continuous improvement in data governance practices.
As a Data Scientist, Sr. Associate, you will provide data-driven insights to inform strategic decisions in Business Banking. Responsibilities include collaborating with strategy teams, applying statistical methods, and maintaining data integrity. You will utilize Python and SQL for data analysis and engage with stakeholders throughout project phases.
As a Business Management Analyst in the Acquisitions & Strategic Investments group, you will support business activities by managing portfolio data, producing reports for senior management, and identifying automation opportunities to enhance processes. Key duties include analytics preparation for valuations, managing team meetings, and ensuring compliance with standards and procedures.
As a Machine Learning Engineer Vice President, you will work with the investment team to design and implement scalable data processing pipelines, deploy efficient AI models, and collaborate closely with data scientists. You will ensure the robustness of pipelines and integrate diverse datasets while staying updated on AI developments.
As a Summer Associate in the Machine Learning Center of Excellence, you will conduct research and develop machine learning models for complex problems in areas like natural language processing and speech recognition, collaborating with various teams to deploy solutions into production.
As a Sr. Machine Learning Engineer, you will analyze complex datasets, lead the development of models and algorithms, supervise data analysis, ensure software code efficiency, manage risks in machine learning predictions, and communicate insights to senior management, fostering collaboration across teams.
As a Pricing Direct Evaluator - Analyst, you will generate daily valuations of fixed income securities, develop statistical and machine learning models, conduct research to enhance pricing methodologies, and provide first-class service to clients while collaborating with trading desks and market participants.
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