Goldman Sachs · 1 day ago
GBM (Private)- Vice President- Quantitative Engineering- New York
New York, NY
Full-time
Onsite
Mid, Senior Level
$150K/yr - $300K/yr
5+ years expGoldman Sachs is a leading global investment banking firm, and they are seeking a Vice President to join their Asset Financing Strats team. This role focuses on driving AI-powered innovation and developing advanced quantitative strategies to optimize asset financing operations.
BankingFinanceFinancial ServicesVenture Capital
Responsibilities
Lead the research, design, and implementation of advanced AI models, LLM-based solutions, and quantitative strategies for the Asset Financing business
Build new functionality for trade capture, automate interest and fee calculations, optimize pricing, collateral management, trading strategies, risk management, and predictive analytics to identify market opportunities and mitigate risks
Conduct in-depth quantitative research into market microstructure, behavioral patterns, and new data sources relevant to asset financing
Apply state-of-the-art AI techniques, including agentic AI, deep research, and LLMs, to solve complex financial problems and generate alpha
Develop robust, scalable, and production-ready AI models and tools
Oversee the entire model lifecycle: data acquisition, feature engineering, model training, validation, deployment, monitoring, and recalibration
Ensure all models adhere to regulatory standards and internal control frameworks
Partner with desks, sales, technology, risk management, and operations teams to understand business needs and translate them into quantitative solutions
Integrate AI and LLM capabilities into existing workflows and platforms
Leverage large and complex datasets to extract meaningful insights, identify trends, and inform strategic decision-making
Develop KPIs and metrics to track product adoption, utilization, and business impact
Act as a subject matter expert in AI, LLMs, and quantitative finance within the strats team
Mentor junior strategists and foster a culture of innovation and continuous learning
Qualification
Required
Advanced degree (Master's or Ph.D.) in Computer Science, Data Science, Mathematics, Statistics, Physics, Financial Engineering, Artificial Intelligence, or a related quantitative discipline
5–10 years of experience in quantitative finance or high-tech, with a proven track record of applying advanced AI techniques to real-world problems
Expert-level programming proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch). Experience with Slang/C++ is a plus
Strong experience with LLM frameworks and big data technologies
Hands-on experience with agentic AI/MCP design and implementation
Deep understanding of asset financing, collateral management, financial markets, and the broader securities financing ecosystem
Preferred
Experience with documentation digitalization and workflow automation
Demonstrated ability to drive the adoption of AI/LLM solutions that reduce operational costs and enhance client experience
Benefits
Discretionary bonus
Training and development opportunities
Firmwide networks
Benefits
Wellness and personal finance offerings
Mindfulness programs
Company
Goldman Sachs
Goldman Sachs is a multinational financial services firm providing securities, investment banking, and management services.
10001+ employees
H1B Sponsorship
Goldman Sachs has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (1954)
2024 (1685)
2023 (2060)
2022 (2326)
2021 (2258)
2020 (1572)
Funding
Current Stage
Public CompanyTotal Funding
$6B2025-04-23Post Ipo Debt· $6B
2012-06-05Post Ipo Equity
1999-05-14IPO
Leadership Team
David M. Solomon
Chair and Chief Executive Officer
John Waldron
President and Chief Operating Officer
Recent News
2026-01-09
BATimes Newspaper
2026-01-08
2026-01-08
Company data provided by crunchbase