Top Data & Analytics Jobs in NYC, NY

The Business Manager will lead credit risk management and product strategy through data analysis, shaping governance programs and driving strategic initiatives across various stakeholders.

The role involves financial reporting, analysis, budgeting, forecasting, and building presentations for senior management. Responsibilities also include collaboration with stakeholders and preparing financial statements.

The Senior Business Analyst will analyze business challenges, develop product strategies, improve credit performance, and support marketing efforts within Emerging Payments.

Lead GlossGenius's analytics engineering team, managing data modeling infrastructure, collaborating cross-functionally, and ensuring data models support business strategy and operations.

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 developing statistical models, leveraging analytics for decision-making, designing analyses, communicating results, and mentoring associates while managing client relationships.

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.

As an Actuarial Consultant, you will evaluate bureau circulars, conduct competitor research, propose rate changes, and optimize rate filing processes. You'll collaborate with various teams to integrate tools and enhance accuracy in rate proposals and filings.

As a Vice President, Card Data Owner Lead, oversee data management in the Card product, ensuring data quality and compliance while supporting analytics and business objectives.

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.

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

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.

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.