Top Senior Level Data & Analytics Jobs in NYC, NY

The Senior Governance, Risk & Compliance Analyst will assist in designing and enforcing security and privacy controls for CoreWeave Cloud, manage control readiness assessments, prepare for external audits, and track regulatory compliance obligations to support company growth.

The Director for Data Infrastructure will lead the development of the company's data technology stack, manage the centralized data architecture, ensure data quality and integrity, and collaborate with various business leaders to support the organization's data needs as it scales.

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.

As a Quantum Computing Research Scientist at JPMorgan Chase, you will advance quantum error correction through collaboration on algorithm-specific corrections and experimental demonstrations, document findings, and contribute to intellectual property.

The role involves advancing the field of quantum algorithms, providing research solutions for internal projects, collaborating with quantum researchers, and documenting findings in scientific papers. The scientist will also focus on applications in optimization, stochastic modeling, numerical analysis, and machine learning.

As a Senior Business Analyst at Capital One, you will analyze business challenges and support product strategies through data modeling and analytics. You will drive cross-functional projects to enhance customer experiences and improve credit performance while collaborating closely with various teams.

As a Senior Lead Data Engineer at Capital One, you will lead a team to design and develop technical solutions, focusing on big data technologies and cloud computing. You will collaborate across Agile teams, build machine learning applications, and ensure robust cloud-based solutions that enhance customer experiences. You will also mentor junior team members and stay updated on tech trends.

The Sr. Director of Data Engineering will lead teams to deliver scalable data products and platforms, ensuring best practices in data engineering. Responsibilities include developing data strategies, leading a team of over 70 engineers, partnering with Product and Design teams, and managing high expectations regarding data. The role requires innovative thinking and strong leadership skills to attract top talent and drive the enterprise's data capabilities forward.