17 vp applied data analytics jobs at 3 companies in New York City, NY
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Wealth Management-Operations-Business Intelligence & Applied AI-New York-Vice President
New York, New York, United States
$100k-$235k/yrOnsiteFull Time
Goldman SachsNYSE: GS: Global investment banking, securities, and investment management firm.
7+ YOERequires 7+ years in applied AI, business intelligence, or data analytics; AI solution design, prompt engineering, BI leadership, data governance, architecture, ROI cases, and cross-functional collaboration.
Microsoft Copilot, OpenAI, Tableau, Power BI, Alteryx
Wealth Management-Operations-Business Intelligence & Applied AI-New York-Vice President
New York City, New York, United States
$100k-$235k/yrOnsiteFull Time
Goldman SachsNYSE: GS: Global investment banking, securities, and investment management firm.
7+ YOERequires 7+ years in applied AI, business intelligence, data analytics, or related fields; AI solution design, prompt engineering, BI leadership, data governance, business cases, and financial services compliance expertise.
Microsoft Copilot, OpenAI, Tableau, Microsoft Power BI, Alteryx, Large Language Models (LLM), Retrieval-Augmented Generation (RAG)
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
2+ YOEPhD (2+ yrs) or MS/BS (4+ yrs) in CS or quantitative field; practical LLM/GenAI experience; production ML deployment experience; proficiency with Python, SQL; experience with large datasets and ML frameworks.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
6+ YOE6+ years in data science/analytics; experience deploying and managing enterprise AI/ML, production code, A/B testing, and multi-agent systems (LangGraph, ADK); strong communication and analytical skills. Advanced degree preferred.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
6+ YOEMaster’s or PhD in Computer Science/ML/Statistics/Math/OR; 6+ years of applied ML; production ML experience; strong Python and ML framework skills; SQL and distributed processing experience; AWS or cloud experience; ability to translate problems into ML plans; excellent communication.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
6+ YOEMaster's in quantitative field, 6+ years delivering production AI/ML, 4+ years Python and AWS production experience, experience with LLMs, NLP/OCR/document AI, MLOps and mentoring.
Applied Artificial Intelligence/ Machine Learning Lead - Vice President
Jersey City or Plano or Wilmington
OnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOEMaster's degree in CS/Statistics/Data Science; 5+ years ML in production; NLP with LLMs; Python with PyTorch/TensorFlow/Scikit-learn; Spark/Hive/SQL; strong communication.
Risk Management - Data Strategist Lead - Vice President
New York, New York, United States
$100k-$198k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOEBachelor's or equivalent experience,5+ years in data management/governance or risk analytics; strong Python and SQL skills; Tableau experience; applied AI/LLM and data governance experience preferred.
7+ YOE7+ years in applied AI, BI, or analytics; experience in AI solution design, prompt engineering, responsible AI, data lifecycle and governance, BI program leadership, and vendor/ stakeholder management.
Microsoft Copilot, OpenAI enterprise solutions, Tableau, Power BI, Alteryx
Morgan StanleyNYSE: MS: Provides global investment banking, wealth management, and advisory services.
3+ YOEMaster's or PhD preferred,3+ years professional ML experience,proficiency in Python or C++,experience with versioning and experiment tracking,knowledge of deep learning and applied ML for commercial products.
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years applied AI/ML governance experience in a regulated environment; formal AI/ML governance training or certification; strong stakeholder partnership, reporting, and process translation skills; advanced Excel and PowerPoint.
Microsoft Excel, Microsoft PowerPoint, Tableau, Qlik, Alteryx
Asset & Wealth Management - Product Manager, Applied AI & Data Products - Vice President
Jersey City, New Jersey, United States
$123k-$201k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
7+ YOE7+ years financial services/product experience; proven delivery of data, analytics or AI products; experience shipping LLM/AI-enabled features; familiarity with Snowflake/Starburst/Databricks; Bachelor's degree required.
Credit Automated Trading Strat / Desk Strat - Fixed Income - Vice President
New York City, New York, United States
$225k-$250k/yrOnsiteFull Time
Morgan StanleyNYSE: MS: Provides global investment banking, wealth management, and advisory services.
3+ YOE3+ years strat experience, Master’s in a quantitative discipline required, strong Python and quantitative skills, experience applying AI/LLMs, domain knowledge in credit markets and derivatives, excellent communication.
Credit Automated Trading Strat / Quant Researcher - Fixed Income - Vice President
New York, New York, United States
$225k-$250k/yrOnsiteFull Time
Morgan StanleyNYSE: MS: Provides global investment banking, wealth management, and advisory services.
2+ YOEAdvanced degree in quantitative field, 2+ years quantitative experience, proficiency in Python, experience applying AI/LLMs, strong probability/statistics/machine learning skills, fixed-income knowledge preferred, ability to communicate with traders and validators.
Digital Markets Sales Applied AI and Insights – Product Manager – Vice President
New York, New York, United States
$143k-$200k/yrOnsiteFull Time
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
Experienced product manager with deep knowledge of financial services, data analytics, cloud and ML platforms, ML development lifecycle, GenAI, stakeholder engagement, and strong communication skills.