Top Mid Level Data & Analytics Jobs in New York City, NY
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 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 Decision Analytics Associate Consultant, you will develop advanced statistical models, leverage analytic techniques using tools like R and Tableau, and communicate results to clients. You'll be responsible for building client relationships, providing project updates, and mentoring team members while advancing analytical capabilities at ZS.
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As a Quant Researcher, you will develop data solutions for trading and data businesses, enhance products using proprietary platform data, analyze bond market activity, manage research models, and collaborate with product teams to create trading solutions.
The Senior Analyst, FP&A at Tapestry will oversee monthly close activities, quarterly reforecasting, and annual planning. They will manage financial forecast models, analyze P&L variances, streamline FP&A processes, and support business case analyses while ensuring accurate financial data presentation.
The Senior Analyst will assign ratings for U.S. RMBS transactions and conduct transaction analysis involving credit and legal aspects. Responsibilities include presenting analysis to rating committees, enhancing structured finance models, and working closely with bankers and investors.
Quantitative researchers at HRT will develop mid-frequency systematic trading strategies, applying statistical methods to datasets and implementing trading models. They are responsible for strategy development, including alpha generation and trade execution algorithms, requiring strong programming skills and teamwork with other researchers.
Join Kensho as a Research Scientist focused on developing and deploying NLP solutions. You'll collaborate with a team to solve complex problems and enhance models in areas like long-context QA, tokenization, and alignment. Engage in R&D, maintain academic partnerships, and innovate using advanced AI techniques.
The Senior Yield Analyst will analyze and monitor ad performance across brands, investigate KPI fluctuations, collaborate with stakeholders for performance improvement, and aid in data-driven decision-making to enhance monetization efforts.
The Machine Learning Engineer will create models to enhance user experience and drive value for advertisers, review code quality, and build scalable products while addressing technical tradeoffs and collaborating effectively with partners.
Top Companies in New York City, NY Hiring Data + Analytics Roles
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