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Top Data & Analytics Jobs in New York City, NY
As a Data Engineer at Brex, you will transform raw data into actionable insights, collaborating with teams to create data models and pipelines. You'll maintain high-quality data sources, ensure data solution reliability, and act as a bridge between technical and non-technical teams.
The Senior Cybersecurity Analyst will enhance Schonfeld's security posture by investigating incidents, conducting assessments, and implementing strategies to mitigate threats. This role involves constant adaptation to evolving cyber threats, collaboration with IT teams, and utilizing advanced technologies for protection against attacks, particularly in cloud environments.
As a Model Monitoring Analyst, you will monitor predictive ML models' performance, analyze data for drifts, create visualizations, and communicate findings to improve model quality while collaborating with data scientists and business partners.
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As a Staff Data Scientist on the Brokerage team at Robinhood, you will develop and refine data models for trade execution optimization, apply game theory concepts, conduct post-trade analyses, and collaborate with trading and engineering teams to create data-driven solutions.
The Private Credit/Leveraged Finance Research Analyst will process and monitor data, produce research and ranking reports, track market growth, and maintain client relationships. The role involves handling data for private credit markets while enhancing data products and automating processes.
The Summer Analyst Program at KKR offers undergraduates the opportunity to engage in investment analysis across various teams, including Capital Markets and Global Wealth Solutions. Analysts will conduct industry research, synthesize data, and participate actively in the deal process. Successful candidates may receive full-time offers for 2027.
As an Analytics Engineer at Optimal Dynamics, you will work on developing software solutions for logistics optimization using machine learning and advanced analytics. You'll participate in the entire software lifecycle and collaborate closely with cross-functional teams to enhance existing systems. A strong emphasis is placed on utilizing Python and SQL to derive insights and enable innovations.
The Data Engineer will build and maintain data pipelines, ensuring data quality and consistency while developing scalable data models. They will document data processes, collaborate with product and engineering teams on solutions, and establish best practices for data engineering.
The Senior Analyst, Sales US Equities will manage client relationships with firms, prepare for meetings, analyze data, and support internal teams with product requirements. Duties involve creating reports, fostering relationships, and applying quantitative methods to solve business challenges.
As a Data Scientist at Airtable, you will analyze marketing data, create data models, and develop self-service analytics and reporting tools. Your role includes collaborating with teams, driving insights, and fostering a data culture through experimentation and transparency in metrics.
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