Top Data & Analytics Jobs in NYC, NY

The Senior Engineer will be responsible for architecting and building scalable data processing systems to handle large data volumes, collaborating with teams to optimize system performance and costs, and engaging in the full software development lifecycle, including production support.

As a Senior Data Engineer II at Upside, you will lead the development of consumer marketing and app feature attribution products, collaborate with cross-functional teams including founders and data scientists, and focus on data engineering and platform development. You will also be involved in implementing marketing attribution models and work with various consumer technologies.

The Principal Data Scientist will build data acquisition pipelines, preprocess and assess data quality, utilize natural language processing techniques, and implement various data science models. Responsibilities include generating data visualizations, communicating modeling results, and deploying scalable models within the company's infrastructure to enhance data-driven solutions.

The Credit Analyst will focus on US leveraged loan situations, conducting fundamental credit analysis, building credit models, and publishing investment research. The role involves mentoring junior analysts and collaborating with legal analysts while maintaining communication with industry contacts.

The Chief Data Architect will lead data strategy and architecture, ensuring alignment with business goals. Responsibilities include designing data architectures, optimizing data systems, establishing governance policies, managing data architecture projects, and mentoring team members.

The VP of Customer Insights and Analytics is responsible for leading the customer insights function within MetLife's marketing organization. This includes directing strategic projects to analyze customer behavior, managing market research initiatives, and using analytics to enhance marketing execution and customer experiences.

The role involves assessing AI and ML model risks, challenging modeling decisions, collaborating with stakeholders, and ensuring the integrity of models across the organization. Candidates will leverage strong quantitative skills and participate in documentation, risk assessment, and benchmarking processes.

As a LME Legal Analyst, you'll review leveraged finance documentation, provide analysis on distressed scenarios, write reports, answer client inquiries, utilize proprietary technology for data expansion, and represent 9fin in the press and at conferences.

As an AI Research Scientist, you will lead innovative research in machine learning and data science, conducting large-scale experiments, developing advanced deep learning models, and publishing findings. You will collaborate with teams to refine methodologies and contribute to evolving research practices, applying the latest theoretical advancements to enhance technologies and products.

The Outsourced Chief Investment Office Analyst supports clients in understanding and executing their investment plans, creates investment reviews, and aids business development activities. The role requires collaboration with senior team members and cross-functional teams to facilitate investment solutions and client relationships.

The Collateral Eligibility Business Architect will lead collateral eligibility data governance, product integration, and support the development of J.P. Morgan's Collateral Eligibility Service. Responsibilities include aligning collateral capabilities and processes across business lines, enhancing user experience through innovation, and providing insights for liquidity management and collateral optimization.

The Quantum Computing Research Scientist will push forward the area of quantum error correction, collaborating on theoretical and experimental aspects, integrating these with quantum algorithms for various applications, and documenting findings for publication.