Goldman Sachs Logo

Goldman Sachs

Platform Solutions - New York - Vice President, Data Analytics & Reporting - 8972699

Posted Yesterday
Be an Early Applicant
In-Office
New York, NY, USA
170K-270K Annually
Senior level
In-Office
New York, NY, USA
170K-270K Annually
Senior level
Lead advanced data analytics and machine learning to monitor portfolio health, prevent fraud, build forecasting models, and identify performance improvements. Partner with business, product, technology, operations, and compliance to implement solutions, improve processes, drive strategic projects end-to-end, and present findings to executives.
The summary above was generated by AI

Job Duties: Vice President, Data Analytics & Reporting with Goldman Sachs Bank USA in New York, New York. Perform and oversee advanced data analytics (e.g. machine learning) activities while monitoring portfolio health and identifying opportunities to drive industry leading fraud prevention and exceptional customer experience. Leverage advanced modeling techniques to build forecasting models and machine learning techniques to understand the drivers of the portfolio performance trends and identify solutions for improvements. Work closely with Business, Product, Technology, Operations, and Compliance teams to implement solutions and improve the performance of the portfolios. Identify, document, and improve existing processes to maximize efficiency in constantly evolving environments. Provide analysis, design strategies for strategic projects and drive end-to-end project delivery.  Prepare executive presentations, lead strategy and capability planning, and organize team meetings and activities. Research and remain current on the latest industry trends. Introduce new data analysis methodologies.

Job Requirements: Bachelor’s degree (U.S. or foreign equivalent) in Computer Science, Software or Computer Engineering, Information Technology, Electronic Engineering, or a related field and five (5) years of experience in job offered or in a related role; OR Master’s degree (U.S. or foreign equivalent) in Computer Science, Software or Computer Engineering, Information Technology, Electronic Engineering, or a related field and three (3) years of experience in job offered or in a related role. Prior work experience must include five (5) years (with a Bachelor’s degree) OR three (3) years (with a Master’s degree) with each of the following: perform advanced data analytics using python; leverage advanced techniques to build forecasting models to understand the drivers of the portfolio performance trends and identify solutions for improvements; work closely with Business, Product, Technology, Operations, and Compliance teams to implement solutions and improve the performance of the portfolios; identify, document, and improve existing processes to maximize efficiency in constantly evolving environments; provide analysis, design strategies for strategic projects and drive end-to-end project delivery; and prepare executive presentations, lead strategy and capability planning, and organize team meetings and activities.

Salary Range: Annual base salary for this New York, New York -based position is $170,000-$270,000.

©The Goldman Sachs Group, Inc., 2026. All rights reserved. Goldman Sachs is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, national origin, age, veteran status, disability, or any other characteristic protected by applicable law.

HQ

Goldman Sachs New York, New York, USA Office

200 West Street, New York, NY, United States, 10282

Similar Jobs

40 Minutes Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Lead global partner pricing strategy and deal support for Datadog's partner network. Serve as liaison with Deal Desk and cross-functional teams to operationalize partner pricing, incentives, and commercial programs. Build scalable documentation, playbooks, and enablement for Partner Sales Managers.
Top Skills: Commercial Operations PlatformsCpqPricing CalculatorsQuoting Systems
40 Minutes Ago
Remote or Hybrid
USA
100K-140K Annually
Mid level
100K-140K Annually
Mid level
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
The Corporate Sales Engineer will be a subject matter expert in Next-Gen SIEM, collaborating with Sales, conducting demonstrations, and creating custom enablement for teams.
Top Skills: AWSAzureGCPLog ManagementNext-Gen Siem
41 Minutes Ago
Easy Apply
Hybrid
New York, NY, USA
Easy Apply
192K-240K Annually
Senior level
192K-240K Annually
Senior level
Artificial Intelligence • Cloud • Security • Software • Cybersecurity
Lead vision, prioritization, and execution for 100+ Datadog Agent integrations across infrastructure and AI-native workloads. Drive roadmap, expand on-prem and AI integration coverage (LLM frameworks, AI agents, ERP systems), analyze adoption data, partner cross-functionally for launches, and remove blockers to accelerate delivery.
Top Skills: Ai AgentsAi ObservabilityBentomlCcmDatadog AgentHugging Face TgiKafkaKubernetesLlm Inference FrameworksMcp ServersMicrosoft DynamicsModel Orchestration ToolsMongoDBMySQLNdmOracle EbsOracle FusionPostgresSAPSecurity

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account