Top Hybrid Analytics Jobs in NYC

Seeking a Senior Manager in Data Science and AI to lead the execution and interpretation of AI/ML models, frame problems, and shape solutions with clear communication of data-driven insights. The role is dynamic, fast-paced, and highly collaborative, covering a broad range of strategic topics critical to the business.

Undertake primary ownership in driving self and team effort across all phases of a project lifecycle. Translate business requirements into technical terms and drive team effort to design, build, and manage technology solutions. Collaborate with global team members, manage diverse skill sets, lead task planning, and ensure timely completion of project deliverables. Manage client communications, exhibit continuous improvement, innovation, and drive team learning efforts.

Lead the design, implementation, and maintenance of the data governance framework. Promote data governance framework and drive adoption across all company divisions. Work with business partners to establish data quality standards and metrics. Build strong partnerships with stakeholders to complete various data projects. Create and maintain a data dictionary for assigned data domain. Monitor compliance and progress of data domain to achieve data governance program goals.

The Risk Analyst at Check is responsible for analyzing company data, monitoring payrolls, and minimizing credit and fraud risk. They will work closely with various teams to develop risk procedures and strategies, gather and analyze data, and provide feedback to improve risk processes and tools.

The Enablement Curriculum Manager at Datadog will use advanced analytics to refine understanding of business and users, improve revenue growth forecasting, deliver actionable analyses to stakeholders, and work on special projects for the c-suite. The ideal candidate is analytical, enjoys diving into data, and can influence business stakeholders based on recommendations.

Analyst role in Equity & Fixed Income Middle Office, responsible for trade captures, confirmations, allocations, managing documentation processes, resolving positions, assisting in application buildout, and collaborating with stakeholders. Requires 1 year of experience, BA/BS Degree in Finance, knowledge of Equity/Fixed Income products, and experience with trade processing platforms and trading OMS. Must be self-motivated, detail-oriented, and organized.

Lead the development and implementation of risk models within a financial institution. Build and manage a modeling team to drive data-driven decision-making. Utilize machine learning techniques to solve complex business problems and drive strategic objectives.