Top Data & Analytics Jobs in NYC

Join Ro's Finance team as a Senior Analyst in FP&A. Prepare leadership-level reporting, build financial models, run analyses, and partner with cross-functional teams to drive financial performance. Requires 2-4 years of financial modeling experience and strong Excel skills. Bachelor's degree in a relevant field is a plus. Full-time position with benefits.

Manage deal process/execution, communicate with clients and investors, optimize deal processes, design and execute data analytics, and handle ad hoc projects. Requires attention to detail, analytical skills, and an undergraduate degree.

The VP of Machine Learning Engineering at Rokt will lead the research, experimentation, and implementation of new ML models critical for the company. They will shape and lead exceptional teams, develop and deploy ML models for various applications, collaborate with cross-functional teams, provide technical leadership, and stay current with the latest ML research.

As the first Research Scientist - Economist at Rokt, you will play a pivotal role in shaping economic strategies, impacting marketplace policies, auction logic, and machine learning model development. Analyze network dynamics, advertising performance, and refine auction models to optimize the internal economy.

Rokt is hiring a Principal Senior Data Scientist to lead their Marketplace efforts. The Data Scientist will be part of the engineering team, specifically working on Experimentation. Responsibilities include defining metrics, conducting analysis and modeling, partnering with stakeholders, and supporting high impact launches. Required skills include strong knowledge of Python and SQL, strong analytical and modeling experience, and experience with data science libraries and relational databases.

Design data-driven strategies for business-facing products, provide guidance on data science capabilities, collaborate with teams to shape product development, communicate data science concepts to stakeholders.

As a Staff Data Scientist at Integral Ad Science, you will drive innovative research, develop automated ML systems, and collaborate with cross-functional teams to deliver solutions for multimedia content classification and fraud detection. You should have a PhD or masters in a quantitative discipline, 3-5 years experience in solving analytical problems using quantitative approaches and ML methods, and expertise in Python, R, and SQL.

Lead and manage Oracle Master Data Management initiatives across various sectors. Implement data quality rules and maintain ID translations between source and consuming applications. Drive MDM Implementations for Finance, Supply chain, Marketing, and Operations. Utilize agile methodologies for project execution.

Responsible for leveraging data science background to drive compliance monitoring data analytics initiatives and confirming compliance with ethical standards and regulatory requirements through advanced data analytics techniques.

As a Senior Associate in Cybersecurity, Privacy, and Forensics at PwC, you will be part of a team driving strategic programs, data analytics, innovation, deals, cyber resilience, and technical implementation activities. Responsibilities include implementing data protection programs, assessing data protection capabilities, and safeguarding critical assets through data security strategies.

Join the Investment Controllership team at MassMutual as an Investment Data Analyst. Assist in the accurate and timely completion of investment accounting tasks, contribute to financial reporting outcomes, and participate in process improvement initiatives. Collaborate with a diverse team of professionals to drive meaningful analysis and control execution for insurance accounting activities.

As a Securities Valuation Analyst at JPMorgan Chase, you will be responsible for daily generation of securities valuations, improving product and service quality, performing complex financial assignments, and interacting with clients and market participants. Required qualifications include a Bachelor's degree in Finance or related field, strong analytical skills, and proficiency in Excel, Visual Basic, and Python. Preferred skills include programming experience and the ability to build effective relationships.

Research and design analytical platform for risk management of cross market portfolios. Lead cross-functional initiatives across Trading, Structuring, Technology, and Quantitative Research. Provide business-aligned pre- and post-trade support. Mentor entry-level team members.