Top Data & Analytics Jobs in NYC, NY

Analyze life insurance market trends and competitive strategies, develop training and support materials for field teams, and communicate insights.

The Senior Analytics Engineer will develop and optimize dbt infrastructure and scalable data models, ensuring consistent business logic and supporting data-driven initiatives across the organization.

The role involves leading Risk Data Science, developing credit decisioning models, and ensuring compliance with model risk management in a regulated environment, focusing on next-gen machine learning techniques and alternative data integration.

This role involves designing data models, automating reports, validating data, and supporting audit efforts in Finance, using various tools and collaborating in Agile environments.

The role involves analyzing pricing data, executing monetization experiments, collaborating on pricing models, and reporting findings to stakeholders.

Lead the transformation of Taskrabbit's data capabilities, define and execute the data strategy, and drive business outcomes through a high-performing data organization.

The Vice President will lead analysis on structured finance transactions, focusing on collateral assessment, cash flow analysis, and legal document reviews. They will engage in credit evaluations, enhance models, and communicate findings to stakeholders.

As a VP in QRMC, develop and maintain mathematical models, enhance risk analytics platforms, design algorithms, and work on product innovation in finance.

Analyze datasets to identify trading patterns, develop quantitative models, backtest algorithms, and support trading operations in commodities markets.

As a Data Owner Lead, guide the analysis and evolution of data products, ensuring compliance with standards and addressing user needs in asset management.

The role involves designing statistical models, leveraging analytics, synthesizing results, developing client relationships, and mentoring associates to address client business challenges using data-driven decisions.

The Senior Data Engineer will build and maintain data pipelines, optimize data processes, design a data validation framework, and ensure user privacy and security.

The Data Analyst will optimize campaign performance through analytics, develop AI solutions, create data visualizations, and improve data infrastructure.