Top Data & Analytics Jobs in New York City, NY
The Machine Learning Engineer will lead the development and deployment of machine learning models to assess the risks associated with various businesses by analyzing structured and unstructured data from multiple sources.
As a Machine Learning Engineer at Kalepa, you will lead the development and deployment of machine learning models aimed at assessing business risks using diverse structured and unstructured data sources. You will drive project direction with complete ownership, collaborating closely with cross-functional teams in a two-week sprint environment.
As a Machine Learning Engineer, you will lead the development and deployment of machine learning models to assess business risks, utilizing both structured and unstructured data sources. You'll manage projects autonomously with a focus on generating novel insights, collaborating closely with cross-functional teams.
The Principal for Alternative Data Products at TransUnion is responsible for driving the strategy and development of products utilizing alternative data for underwriting and risk assessment. This role involves sourcing diverse data, managing product roadmaps, ensuring compliance with data regulations, and leading cross-functional teams to innovate and scale products globally.
The Analyst role in Consulting Services focuses on client engagement for Marketing Solutions, leveraging analytics and quantitative analysis to provide insights. Responsibilities include conducting data investigations, visualizing findings, and helping clients understand data relations to business objectives.
The LME Legal Analyst will review leveraged finance and high yield documentation, produce analyses on distressed scenarios, answer client queries about covenant packages, and use proprietary technology to enhance restructuring databases. The role involves delivering seminars and representing 9fin at industry events.
Featured Jobs
The Business Management Analyst will support JPMC's Acquisitions & Strategic Investments team by conducting financial analyses, preparing management reports, managing portfolio presentations, and identifying automation opportunities. Key responsibilities include coordinating with various stakeholders and assisting with controls and tracking processes.
The Outsourced Chief Investment Office Analyst will support clients by understanding investment plans and working with Senior Portfolio Managers on investment reviews and tactical asset allocations. Responsibilities include business development support, relationship management, and learning the investment platform. Strong analytical skills and the ability to work with cross-functional teams are essential.
The Collateral Eligibility Business Architect VP will drive governance and business integration of J.P. Morgan’s Collateral Eligibility Service, focusing on data management, process improvement, and innovation in collateral efficiency for liquidity and transaction management.
The Senior Business Analyst at Capital One Shopping is responsible for analyzing business challenges, performing product modeling, supporting marketing efforts, and enhancing credit risk strategies. The role requires collaboration across various teams to implement improvements and drive business growth through strategic and analytical insights.
As the Director of Analytics and Survey Science, you will lead analytics and survey research for Applecart's clients, managing a team of data analysts, advising on methodological decisions, and translating data insights into actionable strategies. You'll also oversee the quality assurance of survey projects and stay updated with industry trends.
As a Lead Data Scientist, you will design and deploy machine learning models using VertexAI to tackle fintech challenges, analyze datasets for insights, and optimize model performance. Responsibilities include building scalable pipelines on Google Cloud, integrating models into production, and collaborating with cross-functional teams.
The AI Model Risk position at MetLife involves managing risks related to Artificial Intelligence and Machine Learning models. Responsibilities include challenging modeling decisions, assessing risks, collaborating with internal teams and vendors, and ensuring mathematical and conceptual soundness of models. Required skills include experience in statistical, ML or AI model development, programming skills in Python, R, and/or C#, and the ability to work collaboratively. A graduate degree in a quantitative field and 3+ years of experience are also required.
As a Senior Data Scientist, you will lead analytics projects, analyze user behavior, develop KPIs, conduct A/B testing, implement statistical models and machine learning algorithms, and collaborate with cross-functional teams to drive business impact and growth.
The People Analytics Analyst will enhance data-informed decision-making regarding workforce and business strategies, focusing on analytical reporting and the use of an HRIS system to improve People Analytics processes and communications within the organization.
As the Manager of Analytics, you will lead efforts to synthesize various data sources, enhance veterinary outreach experiences, and collaborate with cross-functional teams to develop effective experiment design and insight generation processes.
Top Companies in New York City, NY Hiring Data + Analytics Roles
See All
.jpg)
.png)
All Filters
No Results
No Results
